#include "allheaders.h"
static void ditherToBinaryLow(l_uint32 *datad, l_int32 w, l_int32 h,
l_int32 wpld, l_uint32 *datas, l_int32 wpls,
l_uint32 *bufs1, l_uint32 *bufs2,
l_int32 lowerclip, l_int32 upperclip);
static void thresholdToBinaryLow(l_uint32 *datad, l_int32 w, l_int32 h,
l_int32 wpld, l_uint32 *datas, l_int32 d,
l_int32 wpls, l_int32 thresh);
static void ditherTo2bppLow(l_uint32 *datad, l_int32 w, l_int32 h, l_int32 wpld,
l_uint32 *datas, l_int32 wpls, l_uint32 *bufs1,
l_uint32 *bufs2, l_int32 *tabval, l_int32 *tab38,
l_int32 *tab14);
static void ditherTo2bppLineLow(l_uint32 *lined, l_int32 w, l_uint32 *bufs1,
l_uint32 *bufs2, l_int32 *tabval,
l_int32 *tab38, l_int32 *tab14,
l_int32 lastlineflag);
static l_int32 make8To2DitherTables(l_int32 **ptabval, l_int32 **ptab38,
l_int32 **ptab14, l_int32 cliptoblack,
l_int32 cliptowhite);
static void thresholdTo2bppLow(l_uint32 *datad, l_int32 h, l_int32 wpld,
l_uint32 *datas, l_int32 wpls, l_int32 *tab);
static void thresholdTo4bppLow(l_uint32 *datad, l_int32 h, l_int32 wpld,
l_uint32 *datas, l_int32 wpls, l_int32 *tab);
static l_int32 *makeGrayQuantTargetTable(l_int32 nlevels, l_int32 depth);
static l_int32 makeGrayQuantColormapArb(PIX *pixs, l_int32 *tab,
l_int32 outdepth, PIXCMAP **pcmap);
static l_int32 numaFillCmapFromHisto(NUMA *na, PIXCMAP *cmap,
l_float32 minfract, l_int32 maxsize,
l_int32 **plut);
#ifndef NO_CONSOLE_IO
#define DEBUG_UNROLLING 0
#endif /* ~NO_CONSOLE_IO */
/*------------------------------------------------------------------*
* Binarization by Floyd-Steinberg dithering *
*------------------------------------------------------------------*/
/*!
* \brief pixDitherToBinary()
*
* \param[in] pixs
* \return pixd dithered binary, or NULL on error
*
* The Floyd-Steinberg error diffusion dithering algorithm
* binarizes an 8 bpp grayscale image to a threshold of 128.
* If a pixel has a value above 127, it is binarized to white
* and the excess below 255 is subtracted from three
* neighboring pixels in the fractions 3/8 to i, j+1,
* 3/8 to i+1, j) and 1/4 to (i+1,j+1, truncating to 0
* if necessary. Likewise, if it the pixel has a value
* below 128, it is binarized to black and the excess above 0
* is added to the neighboring pixels, truncating to 255 if necessary.
*
* This function differs from straight dithering in that it allows
* clipping of grayscale to 0 or 255 if the values are
* sufficiently close, without distribution of the excess.
* This uses default values to specify the range of lower
* and upper values near 0 and 255, rsp that are clipped
* to black and white without propagating the excess.
* Not propagating the excess has the effect of reducing the
* snake patterns in parts of the image that are nearly black or white;
* however, it also prevents the attempt to reproduce gray for those values.
*
* The implementation is straightforward. It uses a pair of
* line buffers to avoid changing pixs. It is about the same speed
* as pixDitherToBinaryLUT(), which uses three LUTs.
*/
PIX *
pixDitherToBinary(PIX *pixs)
{
PROCNAME("pixDitherToBinary");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (pixGetDepth(pixs) != 8)
return (PIX *)ERROR_PTR("must be 8 bpp for dithering", procName, NULL);
return pixDitherToBinarySpec(pixs, DEFAULT_CLIP_LOWER_1,
DEFAULT_CLIP_UPPER_1);
}
/*!
* \brief pixDitherToBinarySpec()
*
* \param[in] pixs
* \param[in] lowerclip lower clip distance to black; use 0 for default
* \param[in] upperclip upper clip distance to white; use 0 for default
* \return pixd dithered binary, or NULL on error
*
*
* Notes:
* (1) See comments above in pixDitherToBinary() for details.
* (2) The input parameters lowerclip and upperclip specify the range
* of lower and upper values (near 0 and 255, rsp) that are
* clipped to black and white without propagating the excess.
* For that reason, lowerclip and upperclip should be small numbers.
*
*/
PIX *
pixDitherToBinarySpec(PIX *pixs,
l_int32 lowerclip,
l_int32 upperclip)
{
l_int32 w, h, d, wplt, wpld;
l_uint32 *datat, *datad;
l_uint32 *bufs1, *bufs2;
PIX *pixt, *pixd;
PROCNAME("pixDitherToBinarySpec");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("must be 8 bpp for dithering", procName, NULL);
if (lowerclip < 0 || lowerclip > 255)
return (PIX *)ERROR_PTR("invalid value for lowerclip", procName, NULL);
if (upperclip < 0 || upperclip > 255)
return (PIX *)ERROR_PTR("invalid value for upperclip", procName, NULL);
if ((pixd = pixCreate(w, h, 1)) == NULL)
return (PIX *)ERROR_PTR("pixd not made", procName, NULL);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
/* Remove colormap if it exists */
if ((pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE)) == NULL) {
pixDestroy(&pixd);
return (PIX *)ERROR_PTR("pixt not made", procName, NULL);
}
datat = pixGetData(pixt);
wplt = pixGetWpl(pixt);
/* Two line buffers, 1 for current line and 2 for next line */
bufs1 = (l_uint32 *)LEPT_CALLOC(wplt, sizeof(l_uint32));
bufs2 = (l_uint32 *)LEPT_CALLOC(wplt, sizeof(l_uint32));
if (!bufs1 || !bufs2) {
LEPT_FREE(bufs1);
LEPT_FREE(bufs2);
pixDestroy(&pixd);
pixDestroy(&pixt);
return (PIX *)ERROR_PTR("bufs1, bufs2 not both made", procName, NULL);
}
ditherToBinaryLow(datad, w, h, wpld, datat, wplt, bufs1, bufs2,
lowerclip, upperclip);
LEPT_FREE(bufs1);
LEPT_FREE(bufs2);
pixDestroy(&pixt);
return pixd;
}
/*!
* \brief ditherToBinaryLow()
*
* See comments in pixDitherToBinary() in binarize.c
*/
static void
ditherToBinaryLow(l_uint32 *datad,
l_int32 w,
l_int32 h,
l_int32 wpld,
l_uint32 *datas,
l_int32 wpls,
l_uint32 *bufs1,
l_uint32 *bufs2,
l_int32 lowerclip,
l_int32 upperclip)
{
l_int32 i;
l_uint32 *lined;
/* do all lines except last line */
memcpy(bufs2, datas, 4 * wpls); /* prime the buffer */
for (i = 0; i < h - 1; i++) {
memcpy(bufs1, bufs2, 4 * wpls);
memcpy(bufs2, datas + (i + 1) * wpls, 4 * wpls);
lined = datad + i * wpld;
ditherToBinaryLineLow(lined, w, bufs1, bufs2, lowerclip, upperclip, 0);
}
/* do last line */
memcpy(bufs1, bufs2, 4 * wpls);
lined = datad + (h - 1) * wpld;
ditherToBinaryLineLow(lined, w, bufs1, bufs2, lowerclip, upperclip, 1);
}
/*!
* \brief ditherToBinaryLineLow()
*
* \param[in] lined ptr to beginning of dest line
* \param[in] w width of image in pixels
* \param[in] bufs1 buffer of current source line
* \param[in] bufs2 buffer of next source line
* \param[in] lowerclip lower clip distance to black
* \param[in] upperclip upper clip distance to white
* \param[in] lastlineflag 0 if not last dest line, 1 if last dest line
* \return void
*
* Dispatches FS error diffusion dithering for
* a single line of the image. If lastlineflag == 0,
* both source buffers are used; otherwise, only bufs1
* is used. We use source buffers because the error
* is propagated into them, and we don't want to change
* the input src image.
*
* We break dithering out line by line to make it
* easier to combine functions like interpolative
* scaling and error diffusion dithering, as such a
* combination of operations obviates the need to
* generate a 2x grayscale image as an intermediary.
*/
void
ditherToBinaryLineLow(l_uint32 *lined,
l_int32 w,
l_uint32 *bufs1,
l_uint32 *bufs2,
l_int32 lowerclip,
l_int32 upperclip,
l_int32 lastlineflag)
{
l_int32 j;
l_int32 oval, eval;
l_uint8 fval1, fval2, rval, bval, dval;
if (lastlineflag == 0) {
for (j = 0; j < w - 1; j++) {
oval = GET_DATA_BYTE(bufs1, j);
if (oval > 127) { /* binarize to OFF */
if ((eval = 255 - oval) > upperclip) {
/* subtract from neighbors */
fval1 = (3 * eval) / 8;
fval2 = eval / 4;
rval = GET_DATA_BYTE(bufs1, j + 1);
rval = L_MAX(0, rval - fval1);
SET_DATA_BYTE(bufs1, j + 1, rval);
bval = GET_DATA_BYTE(bufs2, j);
bval = L_MAX(0, bval - fval1);
SET_DATA_BYTE(bufs2, j, bval);
dval = GET_DATA_BYTE(bufs2, j + 1);
dval = L_MAX(0, dval - fval2);
SET_DATA_BYTE(bufs2, j + 1, dval);
}
} else { /* oval <= 127; binarize to ON */
SET_DATA_BIT(lined, j); /* ON pixel */
if (oval > lowerclip) {
/* add to neighbors */
fval1 = (3 * oval) / 8;
fval2 = oval / 4;
rval = GET_DATA_BYTE(bufs1, j + 1);
rval = L_MIN(255, rval + fval1);
SET_DATA_BYTE(bufs1, j + 1, rval);
bval = GET_DATA_BYTE(bufs2, j);
bval = L_MIN(255, bval + fval1);
SET_DATA_BYTE(bufs2, j, bval);
dval = GET_DATA_BYTE(bufs2, j + 1);
dval = L_MIN(255, dval + fval2);
SET_DATA_BYTE(bufs2, j + 1, dval);
}
}
}
/* do last column: j = w - 1 */
oval = GET_DATA_BYTE(bufs1, j);
if (oval > 127) { /* binarize to OFF */
if ((eval = 255 - oval) > upperclip) {
/* subtract from neighbors */
fval1 = (3 * eval) / 8;
bval = GET_DATA_BYTE(bufs2, j);
bval = L_MAX(0, bval - fval1);
SET_DATA_BYTE(bufs2, j, bval);
}
} else { /*oval <= 127; binarize to ON */
SET_DATA_BIT(lined, j); /* ON pixel */
if (oval > lowerclip) {
/* add to neighbors */
fval1 = (3 * oval) / 8;
bval = GET_DATA_BYTE(bufs2, j);
bval = L_MIN(255, bval + fval1);
SET_DATA_BYTE(bufs2, j, bval);
}
}
} else { /* lastlineflag == 1 */
for (j = 0; j < w - 1; j++) {
oval = GET_DATA_BYTE(bufs1, j);
if (oval > 127) { /* binarize to OFF */
if ((eval = 255 - oval) > upperclip) {
/* subtract from neighbors */
fval1 = (3 * eval) / 8;
rval = GET_DATA_BYTE(bufs1, j + 1);
rval = L_MAX(0, rval - fval1);
SET_DATA_BYTE(bufs1, j + 1, rval);
}
} else { /* oval <= 127; binarize to ON */
SET_DATA_BIT(lined, j); /* ON pixel */
if (oval > lowerclip) {
/* add to neighbors */
fval1 = (3 * oval) / 8;
rval = GET_DATA_BYTE(bufs1, j + 1);
rval = L_MIN(255, rval + fval1);
SET_DATA_BYTE(bufs1, j + 1, rval);
}
}
}
/* do last pixel: (i, j) = (h - 1, w - 1) */
oval = GET_DATA_BYTE(bufs1, j);
if (oval < 128)
SET_DATA_BIT(lined, j); /* ON pixel */
}
}
/*------------------------------------------------------------------*
* Simple (pixelwise) binarization with fixed threshold *
*------------------------------------------------------------------*/
/*!
* \brief pixThresholdToBinary()
*
* \param[in] pixs 4 or 8 bpp
* \param[in] thresh threshold value
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) If the source pixel is less than the threshold value,
* the dest will be 1; otherwise, it will be 0.
* (2) For example, for 8 bpp src pix, if %thresh == 256, the dest
* 1 bpp pix is all ones (fg), and if %thresh == 0, the dest
* pix is all zeros (bg).
*
*
*/
PIX *
pixThresholdToBinary(PIX *pixs,
l_int32 thresh)
{
l_int32 d, w, h, wplt, wpld;
l_uint32 *datat, *datad;
PIX *pixt, *pixd;
PROCNAME("pixThresholdToBinary");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 4 && d != 8)
return (PIX *)ERROR_PTR("pixs must be 4 or 8 bpp", procName, NULL);
if (thresh < 0)
return (PIX *)ERROR_PTR("thresh must be non-negative", procName, NULL);
if (d == 4 && thresh > 16)
return (PIX *)ERROR_PTR("4 bpp thresh not in {0-16}", procName, NULL);
if (d == 8 && thresh > 256)
return (PIX *)ERROR_PTR("8 bpp thresh not in {0-256}", procName, NULL);
if ((pixd = pixCreate(w, h, 1)) == NULL)
return (PIX *)ERROR_PTR("pixd not made", procName, NULL);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
/* Remove colormap if it exists. If there is a colormap,
* pixt will be 8 bpp regardless of the depth of pixs. */
pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
datat = pixGetData(pixt);
wplt = pixGetWpl(pixt);
if (pixGetColormap(pixs) && d == 4) { /* promoted to 8 bpp */
d = 8;
thresh *= 16;
}
thresholdToBinaryLow(datad, w, h, wpld, datat, d, wplt, thresh);
pixDestroy(&pixt);
return pixd;
}
/*!
* \brief thresholdToBinaryLow()
*
* If the source pixel is less than thresh,
* the dest will be 1; otherwise, it will be 0
*/
static void
thresholdToBinaryLow(l_uint32 *datad,
l_int32 w,
l_int32 h,
l_int32 wpld,
l_uint32 *datas,
l_int32 d,
l_int32 wpls,
l_int32 thresh)
{
l_int32 i;
l_uint32 *lines, *lined;
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lined = datad + i * wpld;
thresholdToBinaryLineLow(lined, w, lines, d, thresh);
}
}
/*
* thresholdToBinaryLineLow()
*
*/
void
thresholdToBinaryLineLow(l_uint32 *lined,
l_int32 w,
l_uint32 *lines,
l_int32 d,
l_int32 thresh)
{
l_int32 j, k, gval, scount, dcount;
l_uint32 sword, dword;
PROCNAME("thresholdToBinaryLineLow");
switch (d)
{
case 4:
/* Unrolled as 4 source words, 1 dest word */
for (j = 0, scount = 0, dcount = 0; j + 31 < w; j += 32) {
dword = 0;
for (k = 0; k < 4; k++) {
sword = lines[scount++];
dword <<= 8;
gval = (sword >> 28) & 0xf;
/* Trick used here and below: if gval < thresh then
* gval - thresh < 0, so its high-order bit is 1, and
* ((gval - thresh) >> 31) & 1 == 1; likewise, if
* gval >= thresh, then ((gval - thresh) >> 31) & 1 == 0
* Doing it this way avoids a random (and thus easily
* mispredicted) branch on each pixel. */
dword |= ((gval - thresh) >> 24) & 128;
gval = (sword >> 24) & 0xf;
dword |= ((gval - thresh) >> 25) & 64;
gval = (sword >> 20) & 0xf;
dword |= ((gval - thresh) >> 26) & 32;
gval = (sword >> 16) & 0xf;
dword |= ((gval - thresh) >> 27) & 16;
gval = (sword >> 12) & 0xf;
dword |= ((gval - thresh) >> 28) & 8;
gval = (sword >> 8) & 0xf;
dword |= ((gval - thresh) >> 29) & 4;
gval = (sword >> 4) & 0xf;
dword |= ((gval - thresh) >> 30) & 2;
gval = sword & 0xf;
dword |= ((gval - thresh) >> 31) & 1;
}
lined[dcount++] = dword;
}
if (j < w) {
dword = 0;
for (; j < w; j++) {
if ((j & 7) == 0) {
sword = lines[scount++];
}
gval = (sword >> 28) & 0xf;
sword <<= 4;
dword |= (((gval - thresh) >> 31) & 1) << (31 - (j & 31));
}
lined[dcount] = dword;
}
#if DEBUG_UNROLLING
#define CHECK_BIT(a, b, c) if (GET_DATA_BIT(a, b) != c) { \
lept_stderr("Error: mismatch at %d/%d(%d), %d vs %d\n", \
j, w, d, GET_DATA_BIT(a, b), c); }
for (j = 0; j < w; j++) {
gval = GET_DATA_QBIT(lines, j);
CHECK_BIT(lined, j, gval < thresh ? 1 : 0);
}
#endif
break;
case 8:
/* Unrolled as 8 source words, 1 dest word */
for (j = 0, scount = 0, dcount = 0; j + 31 < w; j += 32) {
dword = 0;
for (k = 0; k < 8; k++) {
sword = lines[scount++];
dword <<= 4;
gval = (sword >> 24) & 0xff;
dword |= ((gval - thresh) >> 28) & 8;
gval = (sword >> 16) & 0xff;
dword |= ((gval - thresh) >> 29) & 4;
gval = (sword >> 8) & 0xff;
dword |= ((gval - thresh) >> 30) & 2;
gval = sword & 0xff;
dword |= ((gval - thresh) >> 31) & 1;
}
lined[dcount++] = dword;
}
if (j < w) {
dword = 0;
for (; j < w; j++) {
if ((j & 3) == 0) {
sword = lines[scount++];
}
gval = (sword >> 24) & 0xff;
sword <<= 8;
dword |= (l_uint64)(((gval - thresh) >> 31) & 1)
<< (31 - (j & 31));
}
lined[dcount] = dword;
}
#if DEBUG_UNROLLING
for (j = 0; j < w; j++) {
gval = GET_DATA_BYTE(lines, j);
CHECK_BIT(lined, j, gval < thresh ? 1 : 0);
}
#undef CHECK_BIT
#endif
break;
default:
L_ERROR("src depth not 4 or 8 bpp\n", procName);
break;
}
}
/*------------------------------------------------------------------*
* Binarization with variable threshold *
*------------------------------------------------------------------*/
/*!
* \brief pixVarThresholdToBinary()
*
* \param[in] pixs 8 bpp
* \param[in] pixg 8 bpp; contains threshold values for each pixel
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) If the pixel in pixs is less than the corresponding pixel
* in pixg, the dest will be 1; otherwise it will be 0.
*
*/
PIX *
pixVarThresholdToBinary(PIX *pixs,
PIX *pixg)
{
l_int32 i, j, vals, valg, w, h, d, wpls, wplg, wpld;
l_uint32 *datas, *datag, *datad, *lines, *lineg, *lined;
PIX *pixd;
PROCNAME("pixVarThresholdToBinary");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (!pixg)
return (PIX *)ERROR_PTR("pixg not defined", procName, NULL);
if (!pixSizesEqual(pixs, pixg))
return (PIX *)ERROR_PTR("pix sizes not equal", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("pixs must be 8 bpp", procName, NULL);
pixd = pixCreate(w, h, 1);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
datas = pixGetData(pixs);
wpls = pixGetWpl(pixs);
datag = pixGetData(pixg);
wplg = pixGetWpl(pixg);
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lineg = datag + i * wplg;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
vals = GET_DATA_BYTE(lines, j);
valg = GET_DATA_BYTE(lineg, j);
if (vals < valg)
SET_DATA_BIT(lined, j);
}
}
return pixd;
}
/*------------------------------------------------------------------*
* Binarization by adaptive mapping *
*------------------------------------------------------------------*/
/*!
* \brief pixAdaptThresholdToBinary()
*
* \param[in] pixs 8 bpp
* \param[in] pixm [optional] 1 bpp image mask; can be null
* \param[in] gamma gamma correction; must be > 0.0; typically ~1.0
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) This is a simple convenience function for doing adaptive
* thresholding on a grayscale image with variable background.
* It uses default parameters appropriate for typical text images.
* (2) %pixm is a 1 bpp mask over "image" regions, which are not
* expected to have a white background. The mask inhibits
* background finding under the fg pixels of the mask. For
* images with both text and image, the image regions would
* be binarized (or quantized) by a different set of operations.
* (3) As %gamma is increased, the foreground pixels are reduced.
* (4) Under the covers: The default background value for normalization
* is 200, so we choose 170 for 'maxval' in pixGammaTRC. Likewise,
* the default foreground threshold for normalization is 60,
* so we choose 50 for 'minval' in pixGammaTRC. Because
* 170 was mapped to 255, choosing 200 for the threshold is
* quite safe for avoiding speckle noise from the background.
*
*/
PIX *
pixAdaptThresholdToBinary(PIX *pixs,
PIX *pixm,
l_float32 gamma)
{
PROCNAME("pixAdaptThresholdToBinary");
if (!pixs || pixGetDepth(pixs) != 8)
return (PIX *)ERROR_PTR("pixs undefined or not 8 bpp", procName, NULL);
return pixAdaptThresholdToBinaryGen(pixs, pixm, gamma, 50, 170, 200);
}
/*!
* \brief pixAdaptThresholdToBinaryGen()
*
* \param[in] pixs 8 bpp
* \param[in] pixm [optional] 1 bpp image mask; can be null
* \param[in] gamma gamma correction; must be > 0.0; typically ~1.0
* \param[in] blackval dark value to set to black (0)
* \param[in] whiteval light value to set to white (255)
* \param[in] thresh final threshold for binarization
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) This is a convenience function for doing adaptive thresholding
* on a grayscale image with variable background. Also see notes
* in pixAdaptThresholdToBinary().
* (2) Reducing %gamma increases the foreground (text) pixels.
* Use a low value (e.g., 0.5) for images with light text.
* (3) For normal images, see default args in pixAdaptThresholdToBinary().
* For images with very light text, these values are appropriate:
* gamma ~0.5
* blackval ~70
* whiteval ~190
* thresh ~200
*
*/
PIX *
pixAdaptThresholdToBinaryGen(PIX *pixs,
PIX *pixm,
l_float32 gamma,
l_int32 blackval,
l_int32 whiteval,
l_int32 thresh)
{
PIX *pix1, *pixd;
PROCNAME("pixAdaptThresholdToBinaryGen");
if (!pixs || pixGetDepth(pixs) != 8)
return (PIX *)ERROR_PTR("pixs undefined or not 8 bpp", procName, NULL);
if ((pix1 = pixBackgroundNormSimple(pixs, pixm, NULL)) == NULL)
return (PIX *)ERROR_PTR("pix1 not made", procName, NULL);
pixGammaTRC(pix1, pix1, gamma, blackval, whiteval);
pixd = pixThresholdToBinary(pix1, thresh);
pixDestroy(&pix1);
return pixd;
}
/*--------------------------------------------------------------------*
* Generate a binary mask from pixels of particular value(s) *
*--------------------------------------------------------------------*/
/*!
* \brief pixGenerateMaskByValue()
*
* \param[in] pixs 2, 4 or 8 bpp, or colormapped
* \param[in] val of pixels for which we set 1 in dest
* \param[in] usecmap 1 to retain cmap values; 0 to convert to gray
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) %val is the pixel value that we are selecting. It can be
* either a gray value or a colormap index.
* (2) If pixs is colormapped, %usecmap determines if the colormap
* index values are used, or if the colormap is removed to gray and
* the gray values are used. For the latter, it generates
* an approximate grayscale value for each pixel, and then looks
* for gray pixels with the value %val.
*
*/
PIX *
pixGenerateMaskByValue(PIX *pixs,
l_int32 val,
l_int32 usecmap)
{
l_int32 i, j, w, h, d, wplg, wpld;
l_uint32 *datag, *datad, *lineg, *lined;
PIX *pixg, *pixd;
PROCNAME("pixGenerateMaskByValue");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
d = pixGetDepth(pixs);
if (d != 2 && d != 4 && d != 8)
return (PIX *)ERROR_PTR("not 2, 4 or 8 bpp", procName, NULL);
if (!usecmap && pixGetColormap(pixs))
pixg = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
else
pixg = pixClone(pixs);
pixGetDimensions(pixg, &w, &h, &d);
if (d == 8 && (val < 0 || val > 255)) {
pixDestroy(&pixg);
return (PIX *)ERROR_PTR("val out of 8 bpp range", procName, NULL);
}
if (d == 4 && (val < 0 || val > 15)) {
pixDestroy(&pixg);
return (PIX *)ERROR_PTR("val out of 4 bpp range", procName, NULL);
}
if (d == 2 && (val < 0 || val > 3)) {
pixDestroy(&pixg);
return (PIX *)ERROR_PTR("val out of 2 bpp range", procName, NULL);
}
pixd = pixCreate(w, h, 1);
pixCopyResolution(pixd, pixg);
pixCopyInputFormat(pixd, pixs);
datag = pixGetData(pixg);
wplg = pixGetWpl(pixg);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
for (i = 0; i < h; i++) {
lineg = datag + i * wplg;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
if (d == 8) {
if (GET_DATA_BYTE(lineg, j) == val)
SET_DATA_BIT(lined, j);
} else if (d == 4) {
if (GET_DATA_QBIT(lineg, j) == val)
SET_DATA_BIT(lined, j);
} else { /* d == 2 */
if (GET_DATA_DIBIT(lineg, j) == val)
SET_DATA_BIT(lined, j);
}
}
}
pixDestroy(&pixg);
return pixd;
}
/*!
* \brief pixGenerateMaskByBand()
*
* \param[in] pixs 2, 4 or 8 bpp, or colormapped
* \param[in] lower, upper two pixel values from which a range, either
* between (inband) or outside of (!inband),
* determines which pixels in pixs cause us to
* set a 1 in the dest mask
* \param[in] inband 1 for finding pixels in [lower, upper];
* 0 for finding pixels in
* [0, lower) union (upper, 255]
* \param[in] usecmap 1 to retain cmap values; 0 to convert to gray
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) Generates a 1 bpp mask pixd, the same size as pixs, where
* the fg pixels in the mask are those either within the specified
* band (for inband == 1) or outside the specified band
* (for inband == 0).
* (2) If pixs is colormapped, %usecmap determines if the colormap
* values are used, or if the colormap is removed to gray and
* the gray values are used. For the latter, it generates
* an approximate grayscale value for each pixel, and then looks
* for gray pixels with the value %val.
*
*/
PIX *
pixGenerateMaskByBand(PIX *pixs,
l_int32 lower,
l_int32 upper,
l_int32 inband,
l_int32 usecmap)
{
l_int32 i, j, w, h, d, wplg, wpld, val;
l_uint32 *datag, *datad, *lineg, *lined;
PIX *pixg, *pixd;
PROCNAME("pixGenerateMaskByBand");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
d = pixGetDepth(pixs);
if (d != 2 && d != 4 && d != 8)
return (PIX *)ERROR_PTR("not 2, 4 or 8 bpp", procName, NULL);
if (lower < 0 || lower > upper)
return (PIX *)ERROR_PTR("lower < 0 or lower > upper!", procName, NULL);
if (!usecmap && pixGetColormap(pixs))
pixg = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
else
pixg = pixClone(pixs);
pixGetDimensions(pixg, &w, &h, &d);
if (d == 8 && upper > 255) {
pixDestroy(&pixg);
return (PIX *)ERROR_PTR("d == 8 and upper > 255", procName, NULL);
}
if (d == 4 && upper > 15) {
pixDestroy(&pixg);
return (PIX *)ERROR_PTR("d == 4 and upper > 15", procName, NULL);
}
if (d == 2 && upper > 3) {
pixDestroy(&pixg);
return (PIX *)ERROR_PTR("d == 2 and upper > 3", procName, NULL);
}
pixd = pixCreate(w, h, 1);
pixCopyResolution(pixd, pixg);
pixCopyInputFormat(pixd, pixs);
datag = pixGetData(pixg);
wplg = pixGetWpl(pixg);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
for (i = 0; i < h; i++) {
lineg = datag + i * wplg;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
if (d == 8)
val = GET_DATA_BYTE(lineg, j);
else if (d == 4)
val = GET_DATA_QBIT(lineg, j);
else /* d == 2 */
val = GET_DATA_DIBIT(lineg, j);
if (inband) {
if (val >= lower && val <= upper)
SET_DATA_BIT(lined, j);
} else { /* out of band */
if (val < lower || val > upper)
SET_DATA_BIT(lined, j);
}
}
}
pixDestroy(&pixg);
return pixd;
}
/*------------------------------------------------------------------*
* Thresholding to 2 bpp by dithering *
*------------------------------------------------------------------*/
/*!
* \brief pixDitherTo2bpp()
*
* \param[in] pixs 8 bpp
* \param[in] cmapflag 1 to generate a colormap
* \return pixd dithered 2 bpp, or NULL on error
*
* An analog of the Floyd-Steinberg error diffusion dithering
* algorithm is used to "dibitize" an 8 bpp grayscale image
* to 2 bpp, using equally spaced gray values of 0, 85, 170, and 255,
* which are served by thresholds of 43, 128 and 213.
* If cmapflag == 1, the colormap values are set to 0, 85, 170 and 255.
* If a pixel has a value between 0 and 42, it is dibitized
* to 0, and the excess above 0 is added to the
* three neighboring pixels, in the fractions 3/8 to i, j+1,
* 3/8 to i+1, j) and 1/4 to (i+1, j+1, truncating to 255 if
* necessary. If a pixel has a value between 43 and 127, it is
* dibitized to 1, and the excess above 85 is added to the three
* neighboring pixels as before. If the value is below 85, the
* excess is subtracted. With a value between 128
* and 212, it is dibitized to 2, with the excess on either side
* of 170 distributed as before. Finally, with a value between
* 213 and 255, it is dibitized to 3, with the excess below 255
* subtracted from the neighbors. We always truncate to 0 or 255.
* The details can be seen in the lookup table generation.
*
* This function differs from straight dithering in that it allows
* clipping of grayscale to 0 or 255 if the values are
* sufficiently close, without distribution of the excess.
* This uses default values from pix.h to specify the range of lower
* and upper values near 0 and 255, rsp that are clipped to black
* and white without propagating the excess.
* Not propagating the excess has the effect of reducing the snake
* patterns in parts of the image that are nearly black or white;
* however, it also prevents any attempt to reproduce gray for those values.
*
* The implementation uses 3 lookup tables for simplicity, and
* a pair of line buffers to avoid modifying pixs.
*/
PIX *
pixDitherTo2bpp(PIX *pixs,
l_int32 cmapflag)
{
PROCNAME("pixDitherTo2bpp");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (pixGetDepth(pixs) != 8)
return (PIX *)ERROR_PTR("must be 8 bpp for dithering", procName, NULL);
return pixDitherTo2bppSpec(pixs, DEFAULT_CLIP_LOWER_2,
DEFAULT_CLIP_UPPER_2, cmapflag);
}
/*!
* \brief pixDitherTo2bppSpec()
*
* \param[in] pixs 8 bpp
* \param[in] lowerclip lower clip distance to black; use 0 for default
* \param[in] upperclip upper clip distance to white; use 0 for default
* \param[in] cmapflag 1 to generate a colormap
* \return pixd dithered 2 bpp, or NULL on error
*
*
* Notes:
* (1) See comments above in pixDitherTo2bpp() for details.
* (2) The input parameters lowerclip and upperclip specify the range
* of lower and upper values (near 0 and 255, rsp) that are
* clipped to black and white without propagating the excess.
* For that reason, lowerclip and upperclip should be small numbers.
*
*/
PIX *
pixDitherTo2bppSpec(PIX *pixs,
l_int32 lowerclip,
l_int32 upperclip,
l_int32 cmapflag)
{
l_int32 w, h, d, wplt, wpld;
l_int32 *tabval, *tab38, *tab14;
l_uint32 *datat, *datad;
l_uint32 *bufs1, *bufs2;
PIX *pixt, *pixd;
PIXCMAP *cmap;
PROCNAME("pixDitherTo2bppSpec");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("must be 8 bpp for dithering", procName, NULL);
if (lowerclip < 0 || lowerclip > 255)
return (PIX *)ERROR_PTR("invalid value for lowerclip", procName, NULL);
if (upperclip < 0 || upperclip > 255)
return (PIX *)ERROR_PTR("invalid value for upperclip", procName, NULL);
if ((pixd = pixCreate(w, h, 2)) == NULL)
return (PIX *)ERROR_PTR("pixd not made", procName, NULL);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
/* If there is a colormap, remove it */
pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
datat = pixGetData(pixt);
wplt = pixGetWpl(pixt);
/* Two line buffers, 1 for current line and 2 for next line */
bufs1 = (l_uint32 *)LEPT_CALLOC(wplt, sizeof(l_uint32));
bufs2 = (l_uint32 *)LEPT_CALLOC(wplt, sizeof(l_uint32));
if (!bufs1 || !bufs2) {
LEPT_FREE(bufs1);
LEPT_FREE(bufs2);
pixDestroy(&pixd);
pixDestroy(&pixt);
return (PIX *)ERROR_PTR("bufs1, bufs2 not both made", procName, NULL);
}
/* 3 lookup tables: 2-bit value, (3/8)excess, and (1/4)excess */
make8To2DitherTables(&tabval, &tab38, &tab14, lowerclip, upperclip);
ditherTo2bppLow(datad, w, h, wpld, datat, wplt, bufs1, bufs2,
tabval, tab38, tab14);
if (cmapflag) {
cmap = pixcmapCreateLinear(2, 4);
pixSetColormap(pixd, cmap);
}
LEPT_FREE(bufs1);
LEPT_FREE(bufs2);
LEPT_FREE(tabval);
LEPT_FREE(tab38);
LEPT_FREE(tab14);
pixDestroy(&pixt);
return pixd;
}
/*!
* \brief ditherTo2bppLow()
*
* Low-level function for doing Floyd-Steinberg error diffusion
* dithering from 8 bpp (datas) to 2 bpp (datad). Two source
* line buffers, bufs1 and bufs2, are provided, along with three
* 256-entry lookup tables: tabval gives the output pixel value,
* tab38 gives the extra (plus or minus) transferred to the pixels
* directly to the left and below, and tab14 gives the extra
* transferred to the diagonal below. The choice of 3/8 and 1/4
* is traditional but arbitrary when you use a lookup table; the
* only constraint is that the sum is 1. See other comments
* below and in grayquant.c.
*/
static void
ditherTo2bppLow(l_uint32 *datad,
l_int32 w,
l_int32 h,
l_int32 wpld,
l_uint32 *datas,
l_int32 wpls,
l_uint32 *bufs1,
l_uint32 *bufs2,
l_int32 *tabval,
l_int32 *tab38,
l_int32 *tab14)
{
l_int32 i;
l_uint32 *lined;
/* do all lines except last line */
memcpy(bufs2, datas, 4 * wpls); /* prime the buffer */
for (i = 0; i < h - 1; i++) {
memcpy(bufs1, bufs2, 4 * wpls);
memcpy(bufs2, datas + (i + 1) * wpls, 4 * wpls);
lined = datad + i * wpld;
ditherTo2bppLineLow(lined, w, bufs1, bufs2, tabval, tab38, tab14, 0);
}
/* do last line */
memcpy(bufs1, bufs2, 4 * wpls);
lined = datad + (h - 1) * wpld;
ditherTo2bppLineLow(lined, w, bufs1, bufs2, tabval, tab38, tab14, 1);
}
/*!
* \brief ditherTo2bppLineLow()
*
* \param[in] lined ptr to beginning of dest line
* \param[in] w width of image in pixels
* \param[in] bufs1 buffer of current source line
* \param[in] bufs2 buffer of next source line
* \param[in] tabval value to assign for current pixel
* \param[in] tab38 excess value to give to neighboring 3/8 pixels
* \param[in] tab14 excess value to give to neighboring 1/4 pixel
* \param[in] lastlineflag 0 if not last dest line, 1 if last dest line
* \return void
*
* Dispatches error diffusion dithering for
* a single line of the image. If lastlineflag == 0,
* both source buffers are used; otherwise, only bufs1
* is used. We use source buffers because the error
* is propagated into them, and we don't want to change
* the input src image.
*
* We break dithering out line by line to make it
* easier to combine functions like interpolative
* scaling and error diffusion dithering, as such a
* combination of operations obviates the need to
* generate a 2x grayscale image as an intermediary.
*/
static void
ditherTo2bppLineLow(l_uint32 *lined,
l_int32 w,
l_uint32 *bufs1,
l_uint32 *bufs2,
l_int32 *tabval,
l_int32 *tab38,
l_int32 *tab14,
l_int32 lastlineflag)
{
l_int32 j;
l_int32 oval, tab38val, tab14val;
l_uint8 rval, bval, dval;
if (lastlineflag == 0) {
for (j = 0; j < w - 1; j++) {
oval = GET_DATA_BYTE(bufs1, j);
SET_DATA_DIBIT(lined, j, tabval[oval]);
rval = GET_DATA_BYTE(bufs1, j + 1);
bval = GET_DATA_BYTE(bufs2, j);
dval = GET_DATA_BYTE(bufs2, j + 1);
tab38val = tab38[oval];
tab14val = tab14[oval];
if (tab38val < 0) {
rval = L_MAX(0, rval + tab38val);
bval = L_MAX(0, bval + tab38val);
dval = L_MAX(0, dval + tab14val);
} else {
rval = L_MIN(255, rval + tab38val);
bval = L_MIN(255, bval + tab38val);
dval = L_MIN(255, dval + tab14val);
}
SET_DATA_BYTE(bufs1, j + 1, rval);
SET_DATA_BYTE(bufs2, j, bval);
SET_DATA_BYTE(bufs2, j + 1, dval);
}
/* do last column: j = w - 1 */
oval = GET_DATA_BYTE(bufs1, j);
SET_DATA_DIBIT(lined, j, tabval[oval]);
bval = GET_DATA_BYTE(bufs2, j);
tab38val = tab38[oval];
if (tab38val < 0)
bval = L_MAX(0, bval + tab38val);
else
bval = L_MIN(255, bval + tab38val);
SET_DATA_BYTE(bufs2, j, bval);
} else { /* lastlineflag == 1 */
for (j = 0; j < w - 1; j++) {
oval = GET_DATA_BYTE(bufs1, j);
SET_DATA_DIBIT(lined, j, tabval[oval]);
rval = GET_DATA_BYTE(bufs1, j + 1);
tab38val = tab38[oval];
if (tab38val < 0)
rval = L_MAX(0, rval + tab38val);
else
rval = L_MIN(255, rval + tab38val);
SET_DATA_BYTE(bufs1, j + 1, rval);
}
/* do last pixel: (i, j) = (h - 1, w - 1) */
oval = GET_DATA_BYTE(bufs1, j);
SET_DATA_DIBIT(lined, j, tabval[oval]);
}
}
/*!
* \brief make8To2DitherTables()
*
* \param[out] ptabval value assigned to output pixel; 0, 1, 2 or 3
* \param[out] ptab38 amount propagated to pixels left and below
* \param[out] ptab14 amount propagated to pixel to left and down
* \param[in] cliptoblack values near 0 where the excess is not propagated
* \param[in] cliptowhite values near 255 where the deficit is not propagated
*
* \return 0 if OK, 1 on error
*/
static l_int32
make8To2DitherTables(l_int32 **ptabval,
l_int32 **ptab38,
l_int32 **ptab14,
l_int32 cliptoblack,
l_int32 cliptowhite)
{
l_int32 i;
l_int32 *tabval, *tab38, *tab14;
/* 3 lookup tables: 2-bit value, (3/8)excess, and (1/4)excess */
tabval = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
tab38 = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
tab14 = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
*ptabval = tabval;
*ptab38 = tab38;
*ptab14 = tab14;
for (i = 0; i < 256; i++) {
if (i <= cliptoblack) {
tabval[i] = 0;
tab38[i] = 0;
tab14[i] = 0;
} else if (i < 43) {
tabval[i] = 0;
tab38[i] = (3 * i + 4) / 8;
tab14[i] = (i + 2) / 4;
} else if (i < 85) {
tabval[i] = 1;
tab38[i] = (3 * (i - 85) - 4) / 8;
tab14[i] = ((i - 85) - 2) / 4;
} else if (i < 128) {
tabval[i] = 1;
tab38[i] = (3 * (i - 85) + 4) / 8;
tab14[i] = ((i - 85) + 2) / 4;
} else if (i < 170) {
tabval[i] = 2;
tab38[i] = (3 * (i - 170) - 4) / 8;
tab14[i] = ((i - 170) - 2) / 4;
} else if (i < 213) {
tabval[i] = 2;
tab38[i] = (3 * (i - 170) + 4) / 8;
tab14[i] = ((i - 170) + 2) / 4;
} else if (i < 255 - cliptowhite) {
tabval[i] = 3;
tab38[i] = (3 * (i - 255) - 4) / 8;
tab14[i] = ((i - 255) - 2) / 4;
} else { /* i >= 255 - cliptowhite */
tabval[i] = 3;
tab38[i] = 0;
tab14[i] = 0;
}
}
return 0;
}
/*--------------------------------------------------------------------*
* Simple (pixelwise) thresholding to 2 bpp with optional colormap *
*--------------------------------------------------------------------*/
/*!
* \brief pixThresholdTo2bpp()
*
* \param[in] pixs 8 bpp
* \param[in] nlevels equally spaced; must be between 2 and 4
* \param[in] cmapflag 1 to build colormap; 0 otherwise
* \return pixd 2 bpp, optionally with colormap, or NULL on error
*
*
* Notes:
* (1) Valid values for nlevels is the set {2, 3, 4}.
* (2) Any colormap on the input pixs is removed to 8 bpp grayscale.
* (3) This function is typically invoked with cmapflag == 1.
* In the situation where no colormap is desired, nlevels is
* ignored and pixs is thresholded to 4 levels.
* (4) The target output colors are equally spaced, with the
* darkest at 0 and the lightest at 255. The thresholds are
* chosen halfway between adjacent output values. A table
* is built that specifies the mapping from src to dest.
* (5) If cmapflag == 1, a colormap of size 'nlevels' is made,
* and the pixel values in pixs are replaced by their
* appropriate color indices. The number of holdouts,
* 4 - nlevels, will be between 0 and 2.
* (6) If you don't want the thresholding to be equally spaced,
* either first transform the 8 bpp src using pixGammaTRC().
* or, if cmapflag == 1, after calling this function you can use
* pixcmapResetColor() to change any individual colors.
* (7) If a colormap is generated, it will specify (to display
* programs) exactly how each level is to be represented in RGB
* space. When representing text, 3 levels is far better than
* 2 because of the antialiasing of the single gray level,
* and 4 levels (black, white and 2 gray levels) is getting
* close to the perceptual quality of a (nearly continuous)
* grayscale image. With 2 bpp, you can set up a colormap
* and allocate from 2 to 4 levels to represent antialiased text.
* Any left over colormap entries can be used for coloring regions.
* For the same number of levels, the file size of a 2 bpp image
* is about 10% smaller than that of a 4 bpp result for the same
* number of levels. For both 2 bpp and 4 bpp, using 4 levels you
* get compression far better than that of jpeg, because the
* quantization to 4 levels will remove the jpeg ringing in the
* background near character edges.
*
*/
PIX *
pixThresholdTo2bpp(PIX *pixs,
l_int32 nlevels,
l_int32 cmapflag)
{
l_int32 *qtab;
l_int32 w, h, d, wplt, wpld;
l_uint32 *datat, *datad;
PIX *pixt, *pixd;
PIXCMAP *cmap;
PROCNAME("pixThresholdTo2bpp");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("pixs not 8 bpp", procName, NULL);
if (nlevels < 2 || nlevels > 4)
return (PIX *)ERROR_PTR("nlevels not in {2, 3, 4}", procName, NULL);
if ((pixd = pixCreate(w, h, 2)) == NULL)
return (PIX *)ERROR_PTR("pixd not made", procName, NULL);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
if (cmapflag) { /* hold out (4 - nlevels) cmap entries */
cmap = pixcmapCreateLinear(2, nlevels);
pixSetColormap(pixd, cmap);
}
/* If there is a colormap in the src, remove it */
pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
datat = pixGetData(pixt);
wplt = pixGetWpl(pixt);
/* Make the appropriate table */
if (cmapflag)
qtab = makeGrayQuantIndexTable(nlevels);
else
qtab = makeGrayQuantTargetTable(4, 2);
thresholdTo2bppLow(datad, h, wpld, datat, wplt, qtab);
LEPT_FREE(qtab);
pixDestroy(&pixt);
return pixd;
}
/*!
* \brief thresholdTo2bppLow()
*
* Low-level function for thresholding from 8 bpp (datas) to
* 2 bpp (datad), using thresholds implicitly defined through %tab,
* a 256-entry lookup table that gives a 2-bit output value
* for each possible input.
*
* For each line, unroll the loop so that for each 32 bit src word,
* representing four consecutive 8-bit pixels, we compose one byte
* of output consisiting of four 2-bit pixels.
*/
static void
thresholdTo2bppLow(l_uint32 *datad,
l_int32 h,
l_int32 wpld,
l_uint32 *datas,
l_int32 wpls,
l_int32 *tab)
{
l_uint8 sval1, sval2, sval3, sval4, dval;
l_int32 i, j, k;
l_uint32 *lines, *lined;
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lined = datad + i * wpld;
for (j = 0; j < wpls; j++) {
k = 4 * j;
sval1 = GET_DATA_BYTE(lines, k);
sval2 = GET_DATA_BYTE(lines, k + 1);
sval3 = GET_DATA_BYTE(lines, k + 2);
sval4 = GET_DATA_BYTE(lines, k + 3);
dval = (tab[sval1] << 6) | (tab[sval2] << 4) |
(tab[sval3] << 2) | tab[sval4];
SET_DATA_BYTE(lined, j, dval);
}
}
}
/*----------------------------------------------------------------------*
* Simple (pixelwise) thresholding to 4 bpp *
*----------------------------------------------------------------------*/
/*!
* \brief pixThresholdTo4bpp()
*
* \param[in] pixs 8 bpp, can have colormap
* \param[in] nlevels equally spaced; must be between 2 and 16
* \param[in] cmapflag 1 to build colormap; 0 otherwise
* \return pixd 4 bpp, optionally with colormap, or NULL on error
*
*
* Notes:
* (1) Valid values for nlevels is the set {2, ... 16}.
* (2) Any colormap on the input pixs is removed to 8 bpp grayscale.
* (3) This function is typically invoked with cmapflag == 1.
* In the situation where no colormap is desired, nlevels is
* ignored and pixs is thresholded to 16 levels.
* (4) The target output colors are equally spaced, with the
* darkest at 0 and the lightest at 255. The thresholds are
* chosen halfway between adjacent output values. A table
* is built that specifies the mapping from src to dest.
* (5) If cmapflag == 1, a colormap of size 'nlevels' is made,
* and the pixel values in pixs are replaced by their
* appropriate color indices. The number of holdouts,
* 16 - nlevels, will be between 0 and 14.
* (6) If you don't want the thresholding to be equally spaced,
* either first transform the 8 bpp src using pixGammaTRC().
* or, if cmapflag == 1, after calling this function you can use
* pixcmapResetColor() to change any individual colors.
* (7) If a colormap is generated, it will specify, to display
* programs, exactly how each level is to be represented in RGB
* space. When representing text, 3 levels is far better than
* 2 because of the antialiasing of the single gray level,
* and 4 levels (black, white and 2 gray levels) is getting
* close to the perceptual quality of a (nearly continuous)
* grayscale image. Therefore, with 4 bpp, you can set up a
* colormap, allocate a relatively small fraction of the 16
* possible values to represent antialiased text, and use the
* other colormap entries for other things, such as coloring
* text or background. Two other reasons for using a small number
* of gray values for antialiased text are (1) PNG compression
* gets worse as the number of levels that are used is increased,
* and (2) using a small number of levels will filter out most of
* the jpeg ringing that is typically introduced near sharp edges
* of text. This filtering is partly responsible for the improved
* compression.
*
*/
PIX *
pixThresholdTo4bpp(PIX *pixs,
l_int32 nlevels,
l_int32 cmapflag)
{
l_int32 *qtab;
l_int32 w, h, d, wplt, wpld;
l_uint32 *datat, *datad;
PIX *pixt, *pixd;
PIXCMAP *cmap;
PROCNAME("pixThresholdTo4bpp");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("pixs not 8 bpp", procName, NULL);
if (nlevels < 2 || nlevels > 16)
return (PIX *)ERROR_PTR("nlevels not in [2,...,16]", procName, NULL);
if ((pixd = pixCreate(w, h, 4)) == NULL)
return (PIX *)ERROR_PTR("pixd not made", procName, NULL);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
if (cmapflag) { /* hold out (16 - nlevels) cmap entries */
cmap = pixcmapCreateLinear(4, nlevels);
pixSetColormap(pixd, cmap);
}
/* If there is a colormap in the src, remove it */
pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
datat = pixGetData(pixt);
wplt = pixGetWpl(pixt);
/* Make the appropriate table */
if (cmapflag)
qtab = makeGrayQuantIndexTable(nlevels);
else
qtab = makeGrayQuantTargetTable(16, 4);
thresholdTo4bppLow(datad, h, wpld, datat, wplt, qtab);
LEPT_FREE(qtab);
pixDestroy(&pixt);
return pixd;
}
/*!
* \brief thresholdTo4bppLow()
*
* Low-level function for thresholding from 8 bpp (datas) to
* 4 bpp (datad), using thresholds implicitly defined through %tab,
* a 256-entry lookup table that gives a 4-bit output value
* for each possible input.
*
* For each line, unroll the loop so that for each 32 bit src word,
* representing four consecutive 8-bit pixels, we compose two bytes
* of output consisiting of four 4-bit pixels.
*/
static void
thresholdTo4bppLow(l_uint32 *datad,
l_int32 h,
l_int32 wpld,
l_uint32 *datas,
l_int32 wpls,
l_int32 *tab)
{
l_uint8 sval1, sval2, sval3, sval4;
l_uint16 dval;
l_int32 i, j, k;
l_uint32 *lines, *lined;
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lined = datad + i * wpld;
for (j = 0; j < wpls; j++) {
k = 4 * j;
sval1 = GET_DATA_BYTE(lines, k);
sval2 = GET_DATA_BYTE(lines, k + 1);
sval3 = GET_DATA_BYTE(lines, k + 2);
sval4 = GET_DATA_BYTE(lines, k + 3);
dval = (tab[sval1] << 12) | (tab[sval2] << 8) |
(tab[sval3] << 4) | tab[sval4];
SET_DATA_TWO_BYTES(lined, j, dval);
}
}
}
/*----------------------------------------------------------------------*
* Simple (pixelwise) thresholding on 8 bpp with optional colormap *
*----------------------------------------------------------------------*/
/*!
* \brief pixThresholdOn8bpp()
*
* \param[in] pixs 8 bpp, can have colormap
* \param[in] nlevels equally spaced; must be between 2 and 256
* \param[in] cmapflag 1 to build colormap; 0 otherwise
* \return pixd 8 bpp, optionally with colormap, or NULL on error
*
*
* Notes:
* (1) Valid values for nlevels is the set {2,...,256}.
* (2) Any colormap on the input pixs is removed to 8 bpp grayscale.
* (3) If cmapflag == 1, a colormap of size 'nlevels' is made,
* and the pixel values in pixs are replaced by their
* appropriate color indices. Otherwise, the pixel values
* are the actual thresholded (i.e., quantized) grayscale values.
* (4) If you don't want the thresholding to be equally spaced,
* first transform the input 8 bpp src using pixGammaTRC().
*
*/
PIX *
pixThresholdOn8bpp(PIX *pixs,
l_int32 nlevels,
l_int32 cmapflag)
{
l_int32 *qtab; /* quantization table */
l_int32 i, j, w, h, wpld, val, newval;
l_uint32 *datad, *lined;
PIX *pixd;
PIXCMAP *cmap;
PROCNAME("pixThresholdOn8bpp");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (pixGetDepth(pixs) != 8)
return (PIX *)ERROR_PTR("pixs not 8 bpp", procName, NULL);
if (nlevels < 2 || nlevels > 256)
return (PIX *)ERROR_PTR("nlevels not in [2,...,256]", procName, NULL);
/* Get a new pixd; if there is a colormap in the src, remove it */
if (pixGetColormap(pixs))
pixd = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
else
pixd = pixCopy(NULL, pixs);
if (cmapflag) { /* hold out (256 - nlevels) cmap entries */
cmap = pixcmapCreateLinear(8, nlevels);
pixSetColormap(pixd, cmap);
}
if (cmapflag)
qtab = makeGrayQuantIndexTable(nlevels);
else
qtab = makeGrayQuantTargetTable(nlevels, 8);
pixGetDimensions(pixd, &w, &h, NULL);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
for (i = 0; i < h; i++) {
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
val = GET_DATA_BYTE(lined, j);
newval = qtab[val];
SET_DATA_BYTE(lined, j, newval);
}
}
LEPT_FREE(qtab);
return pixd;
}
/*----------------------------------------------------------------------*
* Arbitrary (pixelwise) thresholding from 8 bpp to 2, 4 or 8 bpp *
*----------------------------------------------------------------------*/
/*!
* \brief pixThresholdGrayArb()
*
* \param[in] pixs 8 bpp grayscale; can have colormap
* \param[in] edgevals string giving edge value of each bin
* \param[in] outdepth 0, 2, 4 or 8 bpp; 0 is default for min depth
* \param[in] use_average 1 if use the average pixel value in colormap
* \param[in] setblack 1 if darkest color is set to black
* \param[in] setwhite 1 if lightest color is set to white
* \return pixd 2, 4 or 8 bpp quantized image with colormap,
* or NULL on error
*
*
* Notes:
* (1) This function allows exact specification of the quantization bins.
* The string %edgevals is a space-separated set of values
* specifying the dividing points between output quantization bins.
* These threshold values are assigned to the bin with higher
* values, so that each of them is the smallest value in their bin.
* (2) The output image (pixd) depth is specified by %outdepth. The
* number of bins is the number of edgevals + 1. The
* relation between outdepth and the number of bins is:
* outdepth = 2 nbins <= 4
* outdepth = 4 nbins <= 16
* outdepth = 8 nbins <= 256
* With %outdepth == 0, the minimum required depth for the
* given number of bins is used.
* The output pixd has a colormap.
* (3) The last 3 args determine the specific values that go into
* the colormap.
* (4) For %use_average:
* ~ if TRUE, the average value of pixels falling in the bin is
* chosen as the representative gray value. Otherwise,
* ~ if FALSE, the central value of each bin is chosen as
* the representative value.
* The colormap holds the representative value.
* (5) For %setblack, if TRUE the darkest color is set to (0,0,0).
* (6) For %setwhite, if TRUE the lightest color is set to (255,255,255).
* (7) An alternative to using this function to quantize to
* unequally-spaced bins is to first transform the 8 bpp pixs
* using pixGammaTRC(), and follow this with pixThresholdTo4bpp().
*
*/
PIX *
pixThresholdGrayArb(PIX *pixs,
const char *edgevals,
l_int32 outdepth,
l_int32 use_average,
l_int32 setblack,
l_int32 setwhite)
{
l_int32 *qtab;
l_int32 w, h, d, i, j, n, wplt, wpld, val, newval;
l_uint32 *datat, *datad, *linet, *lined;
NUMA *na;
PIX *pixt, *pixd;
PIXCMAP *cmap;
PROCNAME("pixThresholdGrayArb");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("pixs not 8 bpp", procName, NULL);
if (!edgevals)
return (PIX *)ERROR_PTR("edgevals not defined", procName, NULL);
if (outdepth != 0 && outdepth != 2 && outdepth != 4 && outdepth != 8)
return (PIX *)ERROR_PTR("invalid outdepth", procName, NULL);
/* Parse and sort (if required) the bin edge values */
na = parseStringForNumbers(edgevals, " \t\n,");
n = numaGetCount(na);
if (n > 255) {
numaDestroy(&na);
return (PIX *)ERROR_PTR("more than 256 levels", procName, NULL);
}
if (outdepth == 0) {
if (n <= 3)
outdepth = 2;
else if (n <= 15)
outdepth = 4;
else
outdepth = 8;
} else if (n + 1 > (1 << outdepth)) {
L_WARNING("outdepth too small; setting to 8 bpp\n", procName);
outdepth = 8;
}
numaSort(na, na, L_SORT_INCREASING);
/* Make the quantization LUT and the colormap */
makeGrayQuantTableArb(na, outdepth, &qtab, &cmap);
if (use_average) { /* use the average value in each bin */
pixcmapDestroy(&cmap);
makeGrayQuantColormapArb(pixs, qtab, outdepth, &cmap);
}
pixcmapSetBlackAndWhite(cmap, setblack, setwhite);
numaDestroy(&na);
if ((pixd = pixCreate(w, h, outdepth)) == NULL) {
LEPT_FREE(qtab);
pixcmapDestroy(&cmap);
return (PIX *)ERROR_PTR("pixd not made", procName, NULL);
}
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
pixSetColormap(pixd, cmap);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
/* If there is a colormap in the src, remove it */
pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
datat = pixGetData(pixt);
wplt = pixGetWpl(pixt);
if (outdepth == 2) {
thresholdTo2bppLow(datad, h, wpld, datat, wplt, qtab);
} else if (outdepth == 4) {
thresholdTo4bppLow(datad, h, wpld, datat, wplt, qtab);
} else {
for (i = 0; i < h; i++) {
lined = datad + i * wpld;
linet = datat + i * wplt;
for (j = 0; j < w; j++) {
val = GET_DATA_BYTE(linet, j);
newval = qtab[val];
SET_DATA_BYTE(lined, j, newval);
}
}
}
LEPT_FREE(qtab);
pixDestroy(&pixt);
return pixd;
}
/*----------------------------------------------------------------------*
* Quantization tables for linear thresholds of grayscale images *
*----------------------------------------------------------------------*/
/*!
* \brief makeGrayQuantIndexTable()
*
* \param[in] nlevels number of output levels
* \return table maps input gray level to colormap index,
* or NULL on error
*
* Notes:
* (1) 'nlevels' is some number between 2 and 256 (typically 8 or less).
* (2) The table is typically used for quantizing 2, 4 and 8 bpp
* grayscale src pix, and generating a colormapped dest pix.
*
*/
l_int32 *
makeGrayQuantIndexTable(l_int32 nlevels)
{
l_int32 *tab;
l_int32 i, j, thresh;
tab = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
for (i = 0; i < 256; i++) {
for (j = 0; j < nlevels; j++) {
thresh = 255 * (2 * j + 1) / (2 * nlevels - 2);
if (i <= thresh) {
tab[i] = j;
/* lept_stderr("tab[%d] = %d\n", i, j); */
break;
}
}
}
return tab;
}
/*!
* \brief makeGrayQuantTargetTable()
*
* \param[in] nlevels number of output levels
* \param[in] depth of dest pix, in bpp; 2, 4 or 8 bpp
* \return table maps input gray level to thresholded gray level,
* or NULL on error
*
*
* Notes:
* (1) nlevels is some number between 2 and 2^(depth)
* (2) The table is used in two similar ways:
* ~ for 8 bpp, it quantizes to a given number of target levels
* ~ for 2 and 4 bpp, it thresholds to appropriate target values
* that will use the full dynamic range of the dest pix.
* (3) For depth = 8, the number of thresholds chosen is
* ('nlevels' - 1), and the 'nlevels' values stored in the
* table are at the two at the extreme ends, (0, 255), plus
* plus ('nlevels' - 2) values chosen at equal intervals between.
* For example, for depth = 8 and 'nlevels' = 3, the two
* threshold values are 3f and bf, and the three target pixel
* values are 0, 7f and ff.
* (4) For depth < 8, we ignore nlevels, and always use the maximum
* number of levels, which is 2^(depth).
* If you want nlevels < the maximum number, you should always
* use a colormap.
*
*/
static l_int32 *
makeGrayQuantTargetTable(l_int32 nlevels,
l_int32 depth)
{
l_int32 *tab;
l_int32 i, j, thresh, maxval, quantval;
tab = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
maxval = (1 << depth) - 1;
if (depth < 8)
nlevels = 1 << depth;
for (i = 0; i < 256; i++) {
for (j = 0; j < nlevels; j++) {
thresh = 255 * (2 * j + 1) / (2 * nlevels - 2);
if (i <= thresh) {
quantval = maxval * j / (nlevels - 1);
tab[i] = quantval;
/* lept_stderr("tab[%d] = %d\n", i, tab[i]); */
break;
}
}
}
return tab;
}
/*----------------------------------------------------------------------*
* Quantization table for arbitrary thresholding of grayscale images *
*----------------------------------------------------------------------*/
/*!
* \brief makeGrayQuantTableArb()
*
* \param[in] na numa of bin boundaries
* \param[in] outdepth of colormap: 1, 2, 4 or 8
* \param[out] ptab table mapping input gray level to cmap index
* \param[out] pcmap colormap
* \return 0 if OK, 1 on error
*
*
* Notes:
* (1) The number of bins is the count of %na + 1.
* (2) The bin boundaries in na must be sorted in increasing order.
* (3) The table is an inverse colormap: it maps input gray level
* to colormap index (the bin number).
* (4) The colormap generated here has quantized values at the
* center of each bin. If you want to use the average gray
* value of pixels within the bin, discard the colormap and
* compute it using makeGrayQuantColormapArb().
* (5) Returns an error if there are not enough levels in the
* output colormap for the number of bins. The number
* of bins must not exceed 2^outdepth.
*
*/
l_ok
makeGrayQuantTableArb(NUMA *na,
l_int32 outdepth,
l_int32 **ptab,
PIXCMAP **pcmap)
{
l_int32 i, j, n, jstart, ave, val;
l_int32 *tab;
PIXCMAP *cmap;
PROCNAME("makeGrayQuantTableArb");
if (!ptab)
return ERROR_INT("&tab not defined", procName, 1);
*ptab = NULL;
if (!pcmap)
return ERROR_INT("&cmap not defined", procName, 1);
*pcmap = NULL;
if (!na)
return ERROR_INT("na not defined", procName, 1);
n = numaGetCount(na);
if (n + 1 > (1 << outdepth))
return ERROR_INT("more bins than cmap levels", procName, 1);
if ((cmap = pixcmapCreate(outdepth)) == NULL)
return ERROR_INT("cmap not made", procName, 1);
tab = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
*ptab = tab;
*pcmap = cmap;
/* First n bins */
jstart = 0;
for (i = 0; i < n; i++) {
numaGetIValue(na, i, &val);
ave = (jstart + val) / 2;
pixcmapAddColor(cmap, ave, ave, ave);
for (j = jstart; j < val; j++)
tab[j] = i;
jstart = val;
}
/* Last bin */
ave = (jstart + 255) / 2;
pixcmapAddColor(cmap, ave, ave, ave);
for (j = jstart; j < 256; j++)
tab[j] = n;
return 0;
}
/*!
* \brief makeGrayQuantColormapArb()
*
* \param[in] pixs 8 bpp
* \param[in] tab table mapping input gray level to cmap index
* \param[in] outdepth of colormap: 1, 2, 4 or 8
* \param[out] pcmap colormap
* \return 0 if OK, 1 on error
*
*
* Notes:
* (1) The table is a 256-entry inverse colormap: it maps input gray
* level to colormap index (the bin number). It is computed
* using makeGrayQuantTableArb().
* (2) The colormap generated here has quantized values at the
* average gray value of the pixels that are in each bin.
* (3) Returns an error if there are not enough levels in the
* output colormap for the number of bins. The number
* of bins must not exceed 2^outdepth.
*
*/
static l_int32
makeGrayQuantColormapArb(PIX *pixs,
l_int32 *tab,
l_int32 outdepth,
PIXCMAP **pcmap)
{
l_int32 i, j, index, w, h, d, nbins, wpl, factor, val;
l_int32 *bincount, *binave, *binstart;
l_uint32 *line, *data;
PROCNAME("makeGrayQuantColormapArb");
if (!pcmap)
return ERROR_INT("&cmap not defined", procName, 1);
*pcmap = NULL;
if (!pixs)
return ERROR_INT("pixs not defined", procName, 1);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return ERROR_INT("pixs not 8 bpp", procName, 1);
if (!tab)
return ERROR_INT("tab not defined", procName, 1);
nbins = tab[255] + 1;
if (nbins > (1 << outdepth))
return ERROR_INT("more bins than cmap levels", procName, 1);
/* Find the count and weighted count for each bin */
if ((bincount = (l_int32 *)LEPT_CALLOC(nbins, sizeof(l_int32))) == NULL)
return ERROR_INT("calloc fail for bincount", procName, 1);
if ((binave = (l_int32 *)LEPT_CALLOC(nbins, sizeof(l_int32))) == NULL) {
LEPT_FREE(bincount);
return ERROR_INT("calloc fail for binave", procName, 1);
}
factor = (l_int32)(sqrt((l_float64)(w * h) / 30000.) + 0.5);
factor = L_MAX(1, factor);
data = pixGetData(pixs);
wpl = pixGetWpl(pixs);
for (i = 0; i < h; i += factor) {
line = data + i * wpl;
for (j = 0; j < w; j += factor) {
val = GET_DATA_BYTE(line, j);
bincount[tab[val]]++;
binave[tab[val]] += val;
}
}
/* Find the smallest gray values in each bin */
binstart = (l_int32 *)LEPT_CALLOC(nbins, sizeof(l_int32));
for (i = 1, index = 1; i < 256; i++) {
if (tab[i] < index) continue;
if (tab[i] == index)
binstart[index++] = i;
}
/* Get the averages. If there are no samples in a bin, use
* the center value of the bin. */
*pcmap = pixcmapCreate(outdepth);
for (i = 0; i < nbins; i++) {
if (bincount[i]) {
val = binave[i] / bincount[i];
} else { /* no samples in the bin */
if (i < nbins - 1)
val = (binstart[i] + binstart[i + 1]) / 2;
else /* last bin */
val = (binstart[i] + 255) / 2;
}
pixcmapAddColor(*pcmap, val, val, val);
}
LEPT_FREE(bincount);
LEPT_FREE(binave);
LEPT_FREE(binstart);
return 0;
}
/*--------------------------------------------------------------------*
* Thresholding from 32 bpp rgb to 1 bpp *
*--------------------------------------------------------------------*/
/*!
* \brief pixGenerateMaskByBand32()
*
* \param[in] pixs 32 bpp
* \param[in] refval reference rgb value
* \param[in] delm max amount below the ref value for any component
* \param[in] delp max amount above the ref value for any component
* \param[in] fractm fractional amount below ref value for all components
* \param[in] fractp fractional amount above ref value for all components
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) Generates a 1 bpp mask pixd, the same size as pixs, where
* the fg pixels in the mask within a band of rgb values
* surrounding %refval. The band can be chosen in two ways
* for each component:
* (a) Use (%delm, %delp) to specify how many levels down and up
* (b) Use (%fractm, %fractp) to specify the fractional
* distance toward 0 and 255, respectively.
* Note that %delm and %delp must be in [0 ... 255], whereas
* %fractm and %fractp must be in [0.0 - 1.0].
* (2) Either (%delm, %delp) or (%fractm, %fractp) can be used.
* Set each value in the other pair to 0.
*
*/
PIX *
pixGenerateMaskByBand32(PIX *pixs,
l_uint32 refval,
l_int32 delm,
l_int32 delp,
l_float32 fractm,
l_float32 fractp)
{
l_int32 i, j, w, h, d, wpls, wpld;
l_int32 rref, gref, bref, rval, gval, bval;
l_int32 rmin, gmin, bmin, rmax, gmax, bmax;
l_uint32 pixel;
l_uint32 *datas, *datad, *lines, *lined;
PIX *pixd;
PROCNAME("pixGenerateMaskByBand32");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 32)
return (PIX *)ERROR_PTR("not 32 bpp", procName, NULL);
if (delm < 0 || delp < 0)
return (PIX *)ERROR_PTR("delm and delp must be >= 0", procName, NULL);
if (fractm < 0.0 || fractm > 1.0 || fractp < 0.0 || fractp > 1.0)
return (PIX *)ERROR_PTR("fractm and/or fractp invalid", procName, NULL);
extractRGBValues(refval, &rref, &gref, &bref);
if (fractm == 0.0 && fractp == 0.0) {
rmin = rref - delm;
gmin = gref - delm;
bmin = bref - delm;
rmax = rref + delm;
gmax = gref + delm;
bmax = bref + delm;
} else if (delm == 0 && delp == 0) {
rmin = (l_int32)((1.0 - fractm) * rref);
gmin = (l_int32)((1.0 - fractm) * gref);
bmin = (l_int32)((1.0 - fractm) * bref);
rmax = rref + (l_int32)(fractp * (255 - rref));
gmax = gref + (l_int32)(fractp * (255 - gref));
bmax = bref + (l_int32)(fractp * (255 - bref));
} else {
L_ERROR("bad input: either (delm, delp) or (fractm, fractp) "
"must be 0\n", procName);
return NULL;
}
pixd = pixCreate(w, h, 1);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datas = pixGetData(pixs);
wpls = pixGetWpl(pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
pixel = lines[j];
rval = (pixel >> L_RED_SHIFT) & 0xff;
if (rval < rmin || rval > rmax)
continue;
gval = (pixel >> L_GREEN_SHIFT) & 0xff;
if (gval < gmin || gval > gmax)
continue;
bval = (pixel >> L_BLUE_SHIFT) & 0xff;
if (bval < bmin || bval > bmax)
continue;
SET_DATA_BIT(lined, j);
}
}
return pixd;
}
/*!
* \brief pixGenerateMaskByDiscr32()
*
* \param[in] pixs 32 bpp
* \param[in] refval1 reference rgb value
* \param[in] refval2 reference rgb value
* \param[in] distflag L_MANHATTAN_DISTANCE, L_EUCLIDEAN_DISTANCE
* \return pixd 1 bpp, or NULL on error
*
*
* Notes:
* (1) Generates a 1 bpp mask pixd, the same size as pixs, where
* the fg pixels in the mask are those where the pixel in pixs
* is "closer" to refval1 than to refval2.
* (2) "Closer" can be defined in several ways, such as:
* ~ manhattan distance (L1)
* ~ euclidean distance (L2)
* ~ majority vote of the individual components
* Here, we have a choice of L1 or L2.
*
*/
PIX *
pixGenerateMaskByDiscr32(PIX *pixs,
l_uint32 refval1,
l_uint32 refval2,
l_int32 distflag)
{
l_int32 i, j, w, h, d, wpls, wpld;
l_int32 rref1, gref1, bref1, rref2, gref2, bref2, rval, gval, bval;
l_uint32 pixel, dist1, dist2;
l_uint32 *datas, *datad, *lines, *lined;
PIX *pixd;
PROCNAME("pixGenerateMaskByDiscr32");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 32)
return (PIX *)ERROR_PTR("not 32 bpp", procName, NULL);
if (distflag != L_MANHATTAN_DISTANCE && distflag != L_EUCLIDEAN_DISTANCE)
return (PIX *)ERROR_PTR("invalid distflag", procName, NULL);
extractRGBValues(refval1, &rref1, &gref1, &bref1);
extractRGBValues(refval2, &rref2, &gref2, &bref2);
pixd = pixCreate(w, h, 1);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datas = pixGetData(pixs);
wpls = pixGetWpl(pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
pixel = lines[j];
extractRGBValues(pixel, &rval, &gval, &bval);
if (distflag == L_MANHATTAN_DISTANCE) {
dist1 = L_ABS(rref1 - rval);
dist2 = L_ABS(rref2 - rval);
dist1 += L_ABS(gref1 - gval);
dist2 += L_ABS(gref2 - gval);
dist1 += L_ABS(bref1 - bval);
dist2 += L_ABS(bref2 - bval);
} else {
dist1 = (rref1 - rval) * (rref1 - rval);
dist2 = (rref2 - rval) * (rref2 - rval);
dist1 += (gref1 - gval) * (gref1 - gval);
dist2 += (gref2 - gval) * (gref2 - gval);
dist1 += (bref1 - bval) * (bref1 - bval);
dist2 += (bref2 - bval) * (bref2 - bval);
}
if (dist1 < dist2)
SET_DATA_BIT(lined, j);
}
}
return pixd;
}
/*----------------------------------------------------------------------*
* Histogram-based grayscale quantization *
*----------------------------------------------------------------------*/
/*!
* \brief pixGrayQuantFromHisto()
*
* \param[in] pixd [optional] quantized pix with cmap; can be null
* \param[in] pixs 8 bpp gray input pix; not cmapped
* \param[in] pixm [optional] mask over pixels in pixs to quantize
* \param[in] minfract minimum fraction of pixels in a set of adjacent
* histo bins that causes the set to be automatically
* set aside as a color in the colormap; must be
* at least 0.01
* \param[in] maxsize maximum number of adjacent bins allowed to represent
* a color, regardless of the population of pixels
* in the bins; must be at least 2
* \return pixd 8 bpp, cmapped, or NULL on error
*
*
* Notes:
* (1) This is useful for quantizing images with relatively few
* colors, but which may have both color and gray pixels.
* If there are color pixels, it is assumed that an input
* rgb image has been color quantized first so that:
* ~ pixd has a colormap describing the color pixels
* ~ pixm is a mask over the non-color pixels in pixd
* ~ the colormap in pixd, and the color pixels in pixd,
* have been repacked to go from 0 to n-1 (n colors)
* If there are no color pixels, pixd and pixm are both null,
* and all pixels in pixs are quantized to gray.
* (2) A 256-entry histogram is built of the gray values in pixs.
* If pixm exists, the pixels contributing to the histogram are
* restricted to the fg of pixm. A colormap and LUT are generated
* from this histogram. We break up the array into a set
* of intervals, each one constituting a color in the colormap:
* An interval is identified by summing histogram bins until
* either the sum equals or exceeds the %minfract of the total
* number of pixels, or the span itself equals or exceeds %maxsize.
* The color of each bin is always an average of the pixels
* that constitute it.
* (3) Note that we do not specify the number of gray colors in
* the colormap. Instead, we specify two parameters that
* describe the accuracy of the color assignments; this and
* the actual image determine the number of resulting colors.
* (4) If a mask exists and it is not the same size as pixs, make
* a new mask the same size as pixs, with the original mask
* aligned at the UL corners. Set all additional pixels
* in the (larger) new mask set to 1, causing those pixels
* in pixd to be set as gray.
* (5) We estimate the total number of colors (color plus gray);
* if it exceeds 255, return null.
*
*/
PIX *
pixGrayQuantFromHisto(PIX *pixd,
PIX *pixs,
PIX *pixm,
l_float32 minfract,
l_int32 maxsize)
{
l_int32 w, h, wd, hd, wm, hm, wpls, wplm, wpld;
l_int32 nc, nestim, i, j, vals, vald;
l_int32 *lut;
l_uint32 *datas, *datam, *datad, *lines, *linem, *lined;
NUMA *na;
PIX *pixmr; /* resized mask */
PIXCMAP *cmap;
PROCNAME("pixGrayQuantFromHisto");
if (!pixs || pixGetDepth(pixs) != 8)
return (PIX *)ERROR_PTR("pixs undefined or not 8 bpp", procName, NULL);
if (minfract < 0.01) {
L_WARNING("minfract < 0.01; setting to 0.05\n", procName);
minfract = 0.05f;
}
if (maxsize < 2) {
L_WARNING("maxsize < 2; setting to 10\n", procName);
maxsize = 10;
}
if ((pixd && !pixm) || (!pixd && pixm))
return (PIX *)ERROR_PTR("(pixd,pixm) not defined together",
procName, NULL);
pixGetDimensions(pixs, &w, &h, NULL);
if (pixd) {
if (pixGetDepth(pixm) != 1)
return (PIX *)ERROR_PTR("pixm not 1 bpp", procName, NULL);
if ((cmap = pixGetColormap(pixd)) == NULL)
return (PIX *)ERROR_PTR("pixd not cmapped", procName, NULL);
pixGetDimensions(pixd, &wd, &hd, NULL);
if (w != wd || h != hd)
return (PIX *)ERROR_PTR("pixs, pixd sizes differ", procName, NULL);
nc = pixcmapGetCount(cmap);
nestim = nc + (l_int32)(1.5 * 255 / maxsize);
lept_stderr( "nestim = %d\n", nestim);
if (nestim > 255) {
L_ERROR("Estimate %d colors!\n", procName, nestim);
return (PIX *)ERROR_PTR("probably too many colors", procName, NULL);
}
pixGetDimensions(pixm, &wm, &hm, NULL);
if (w != wm || h != hm) { /* resize the mask */
L_WARNING("mask and dest sizes not equal\n", procName);
pixmr = pixCreateNoInit(w, h, 1);
pixRasterop(pixmr, 0, 0, wm, hm, PIX_SRC, pixm, 0, 0);
pixRasterop(pixmr, wm, 0, w - wm, h, PIX_SET, NULL, 0, 0);
pixRasterop(pixmr, 0, hm, wm, h - hm, PIX_SET, NULL, 0, 0);
} else {
pixmr = pixClone(pixm);
}
} else {
pixd = pixCreateTemplate(pixs);
cmap = pixcmapCreate(8);
pixSetColormap(pixd, cmap);
}
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
/* Use original mask, if it exists, to select gray pixels */
na = pixGetGrayHistogramMasked(pixs, pixm, 0, 0, 1);
/* Fill out the cmap with gray colors, and generate the lut
* for pixel assignment. Issue a warning on failure. */
if (numaFillCmapFromHisto(na, cmap, minfract, maxsize, &lut))
L_ERROR("ran out of colors in cmap!\n", procName);
numaDestroy(&na);
/* Assign the gray pixels to their cmap indices */
datas = pixGetData(pixs);
datad = pixGetData(pixd);
wpls = pixGetWpl(pixs);
wpld = pixGetWpl(pixd);
if (!pixm) {
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
vals = GET_DATA_BYTE(lines, j);
vald = lut[vals];
SET_DATA_BYTE(lined, j, vald);
}
}
LEPT_FREE(lut);
return pixd;
}
datam = pixGetData(pixmr);
wplm = pixGetWpl(pixmr);
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
linem = datam + i * wplm;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
if (!GET_DATA_BIT(linem, j))
continue;
vals = GET_DATA_BYTE(lines, j);
vald = lut[vals];
SET_DATA_BYTE(lined, j, vald);
}
}
pixDestroy(&pixmr);
LEPT_FREE(lut);
return pixd;
}
/*!
* \brief numaFillCmapFromHisto()
*
* \param[in] na histogram of gray values
* \param[in] cmap 8 bpp cmap, possibly initialized with color value
* \param[in] minfract minimum fraction of pixels in a set of adjacent
* histo bins that causes the set to be automatically
* set aside as a color in the colormap; must be
* at least 0.01
* \param[in] maxsize maximum number of adjacent bins allowed to represent
* a color, regardless of the population of pixels
* in the bins; must be at least 2
* \param[out] plut lookup table from gray value to colormap index
* \return 0 if OK, 1 on error
*
*
* Notes:
* (1) This static function must be called from pixGrayQuantFromHisto()
*
*/
static l_int32
numaFillCmapFromHisto(NUMA *na,
PIXCMAP *cmap,
l_float32 minfract,
l_int32 maxsize,
l_int32 **plut)
{
l_int32 mincount, index, sum, wtsum, span, istart, i, val, ret;
l_int32 *iahisto, *lut;
l_float32 total;
PROCNAME("numaFillCmapFromHisto");
if (!plut)
return ERROR_INT("&lut not defined", procName, 1);
*plut = NULL;
if (!na)
return ERROR_INT("na not defined", procName, 1);
if (!cmap)
return ERROR_INT("cmap not defined", procName, 1);
numaGetSum(na, &total);
mincount = (l_int32)(minfract * total);
iahisto = numaGetIArray(na);
lut = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
*plut = lut;
index = pixcmapGetCount(cmap); /* start with number of colors
* already reserved */
/* March through, associating colors with sets of adjacent
* gray levels. During the process, the LUT that gives
* the colormap index for each gray level is computed.
* To complete a color, either the total count must equal
* or exceed %mincount, or the current span of colors must
* equal or exceed %maxsize. An empty span is not converted
* into a color; it is simply ignored. When a span is completed for a
* color, the weighted color in the span is added to the colormap. */
sum = 0;
wtsum = 0;
istart = 0;
ret = 0;
for (i = 0; i < 256; i++) {
lut[i] = index;
sum += iahisto[i];
wtsum += i * iahisto[i];
span = i - istart + 1;
if (sum < mincount && span < maxsize)
continue;
if (sum == 0) { /* empty span; don't save */
istart = i + 1;
continue;
}
/* Found new color; sum > 0 */
val = (l_int32)((l_float32)wtsum / (l_float32)sum + 0.5);
ret = pixcmapAddColor(cmap, val, val, val);
istart = i + 1;
sum = 0;
wtsum = 0;
index++;
}
if (istart < 256 && sum > 0) { /* last one */
span = 256 - istart;
val = (l_int32)((l_float32)wtsum / (l_float32)sum + 0.5);
ret = pixcmapAddColor(cmap, val, val, val);
}
LEPT_FREE(iahisto);
return ret;
}
/*----------------------------------------------------------------------*
* Color quantize grayscale image using existing colormap *
*----------------------------------------------------------------------*/
/*!
* \brief pixGrayQuantFromCmap()
*
* \param[in] pixs 8 bpp grayscale without cmap
* \param[in] cmap to quantize to; of dest pix
* \param[in] mindepth minimum depth of pixd: can be 2, 4 or 8 bpp
* \return pixd 2, 4 or 8 bpp, colormapped, or NULL on error
*
*
* Notes:
* (1) In use, pixs is an 8 bpp grayscale image without a colormap.
* If there is an existing colormap, a warning is issued and
* a copy of the input pixs is returned.
*
*/
PIX *
pixGrayQuantFromCmap(PIX *pixs,
PIXCMAP *cmap,
l_int32 mindepth)
{
l_int32 i, j, index, w, h, d, depth, wpls, wpld;
l_int32 hascolor, vals, vald;
l_int32 *tab;
l_uint32 *datas, *datad, *lines, *lined;
PIXCMAP *cmapd;
PIX *pixd;
PROCNAME("pixGrayQuantFromCmap");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
if (pixGetColormap(pixs) != NULL) {
L_WARNING("pixs already has a colormap; returning a copy\n", procName);
return pixCopy(NULL, pixs);
}
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("pixs not 8 bpp", procName, NULL);
if (!cmap)
return (PIX *)ERROR_PTR("cmap not defined", procName, NULL);
if (mindepth != 2 && mindepth != 4 && mindepth != 8)
return (PIX *)ERROR_PTR("invalid mindepth", procName, NULL);
/* Make sure the colormap is gray */
pixcmapHasColor(cmap, &hascolor);
if (hascolor) {
L_WARNING("Converting colormap colors to gray\n", procName);
cmapd = pixcmapColorToGray(cmap, 0.3f, 0.5f, 0.2f);
} else {
cmapd = pixcmapCopy(cmap);
}
/* Make LUT into colormap */
tab = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
for (i = 0; i < 256; i++) {
pixcmapGetNearestGrayIndex(cmapd, i, &index);
tab[i] = index;
}
pixcmapGetMinDepth(cmap, &depth);
depth = L_MAX(depth, mindepth);
pixd = pixCreate(w, h, depth);
pixSetColormap(pixd, cmapd);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datas = pixGetData(pixs);
datad = pixGetData(pixd);
wpls = pixGetWpl(pixs);
wpld = pixGetWpl(pixd);
for (i = 0; i < h; i++) {
lines = datas + i * wpls;
lined = datad + i * wpld;
for (j = 0; j < w; j++) {
vals = GET_DATA_BYTE(lines, j);
vald = tab[vals];
if (depth == 2)
SET_DATA_DIBIT(lined, j, vald);
else if (depth == 4)
SET_DATA_QBIT(lined, j, vald);
else /* depth == 8 */
SET_DATA_BYTE(lined, j, vald);
}
}
LEPT_FREE(tab);
return pixd;
}
#if 0 /* Documentation */
/*--------------------------------------------------------------------*
* Implementation of binarization by dithering using LUTs *
* It is archived here. *
*--------------------------------------------------------------------*/
/*!
* \brief pixDitherToBinaryLUT()
*
* \param[in] pixs
* \param[in] lowerclip lower clip distance to black; use -1 for default
* \param[in] upperclip upper clip distance to white; use -1 for default
* \return pixd dithered binary, or NULL on error
*
* We don't need two implementations of Floyd-Steinberg dithering,
* and this one with LUTs is a little more complicated than
* pixDitherToBinary(). It uses three lookup tables to generate the
* output pixel value and the excess or deficit carried over to the
* neighboring pixels. It's here for pedagogical reasons only.
*/
PIX *
pixDitherToBinaryLUT(PIX *pixs,
l_int32 lowerclip,
l_int32 upperclip)
{
l_int32 w, h, d, wplt, wpld;
l_int32 *tabval, *tab38, *tab14;
l_uint32 *datat, *datad;
l_uint32 *bufs1, *bufs2;
PIX *pixt, *pixd;
PROCNAME("pixDitherToBinaryLUT");
if (!pixs)
return (PIX *)ERROR_PTR("pixs not defined", procName, NULL);
pixGetDimensions(pixs, &w, &h, &d);
if (d != 8)
return (PIX *)ERROR_PTR("must be 8 bpp for dithering", procName, NULL);
if (lowerclip < 0)
lowerclip = DEFAULT_CLIP_LOWER_1;
if (upperclip < 0)
upperclip = DEFAULT_CLIP_UPPER_1;
if ((pixd = pixCreate(w, h, 1)) == NULL)
return (PIX *)ERROR_PTR("pixd not made", procName, NULL);
pixCopyResolution(pixd, pixs);
pixCopyInputFormat(pixd, pixs);
datad = pixGetData(pixd);
wpld = pixGetWpl(pixd);
/* Remove colormap if it exists */
pixt = pixRemoveColormap(pixs, REMOVE_CMAP_TO_GRAYSCALE);
datat = pixGetData(pixt);
wplt = pixGetWpl(pixt);
/* Two line buffers, 1 for current line and 2 for next line */
bufs1 = (l_uint32 *)LEPT_CALLOC(wplt, sizeof(l_uint32));
bufs2 = (l_uint32 *)LEPT_CALLOC(wplt, sizeof(l_uint32));
if (!bufs1 || !bufs2) {
LEPT_FREE(bufs1);
LEPT_FREE(bufs2);
pixDestroy(&pixd);
pixDestroy(&pixt);
return (PIX *)ERROR_PTR("bufs1, bufs2 not both made", procName, NULL);
}
/* 3 lookup tables: 1-bit value, (3/8)excess, and (1/4)excess */
make8To1DitherTables(&tabval, &tab38, &tab14, lowerclip, upperclip);
ditherToBinaryLUTLow(datad, w, h, wpld, datat, wplt, bufs1, bufs2,
tabval, tab38, tab14);
LEPT_FREE(bufs1);
LEPT_FREE(bufs2);
LEPT_FREE(tabval);
LEPT_FREE(tab38);
LEPT_FREE(tab14);
pixDestroy(&pixt);
return pixd;
}
/*!
* \brief ditherToBinaryLUTLow()
*
* Low-level function for doing Floyd-Steinberg error diffusion
* dithering from 8 bpp (datas) to 1 bpp (datad). Two source
* line buffers, bufs1 and bufs2, are provided, along with three
* 256-entry lookup tables: tabval gives the output pixel value,
* tab38 gives the extra (plus or minus) transferred to the pixels
* directly to the left and below, and tab14 gives the extra
* transferred to the diagonal below. The choice of 3/8 and 1/4
* is traditional but arbitrary when you use a lookup table; the
* only constraint is that the sum is 1. See other comments below.
*/
void
ditherToBinaryLUTLow(l_uint32 *datad,
l_int32 w,
l_int32 h,
l_int32 wpld,
l_uint32 *datas,
l_int32 wpls,
l_uint32 *bufs1,
l_uint32 *bufs2,
l_int32 *tabval,
l_int32 *tab38,
l_int32 *tab14)
{
l_int32 i;
l_uint32 *lined;
/* do all lines except last line */
memcpy(bufs2, datas, 4 * wpls); /* prime the buffer */
for (i = 0; i < h - 1; i++) {
memcpy(bufs1, bufs2, 4 * wpls);
memcpy(bufs2, datas + (i + 1) * wpls, 4 * wpls);
lined = datad + i * wpld;
ditherToBinaryLineLUTLow(lined, w, bufs1, bufs2,
tabval, tab38, tab14, 0);
}
/* do last line */
memcpy(bufs1, bufs2, 4 * wpls);
lined = datad + (h - 1) * wpld;
ditherToBinaryLineLUTLow(lined, w, bufs1, bufs2, tabval, tab38, tab14, 1);
return;
}
/*!
* \brief ditherToBinaryLineLUTLow()
*
* \param[in] lined ptr to beginning of dest line
* \param[in] w width of image in pixels
* \param[in] bufs1 buffer of current source line
* \param[in] bufs2 buffer of next source line
* \param[in] tabval value to assign for current pixel
* \param[in] tab38 excess value to give to neighboring 3/8 pixels
* \param[in] tab14 excess value to give to neighboring 1/4 pixel
* \param[in] lastlineflag 0 if not last dest line, 1 if last dest line
* \return void
*/
void
ditherToBinaryLineLUTLow(l_uint32 *lined,
l_int32 w,
l_uint32 *bufs1,
l_uint32 *bufs2,
l_int32 *tabval,
l_int32 *tab38,
l_int32 *tab14,
l_int32 lastlineflag)
{
l_int32 j;
l_int32 oval, tab38val, tab14val;
l_uint8 rval, bval, dval;
if (lastlineflag == 0) {
for (j = 0; j < w - 1; j++) {
oval = GET_DATA_BYTE(bufs1, j);
if (tabval[oval])
SET_DATA_BIT(lined, j);
rval = GET_DATA_BYTE(bufs1, j + 1);
bval = GET_DATA_BYTE(bufs2, j);
dval = GET_DATA_BYTE(bufs2, j + 1);
tab38val = tab38[oval];
if (tab38val == 0)
continue;
tab14val = tab14[oval];
if (tab38val < 0) {
rval = L_MAX(0, rval + tab38val);
bval = L_MAX(0, bval + tab38val);
dval = L_MAX(0, dval + tab14val);
} else {
rval = L_MIN(255, rval + tab38val);
bval = L_MIN(255, bval + tab38val);
dval = L_MIN(255, dval + tab14val);
}
SET_DATA_BYTE(bufs1, j + 1, rval);
SET_DATA_BYTE(bufs2, j, bval);
SET_DATA_BYTE(bufs2, j + 1, dval);
}
/* do last column: j = w - 1 */
oval = GET_DATA_BYTE(bufs1, j);
if (tabval[oval])
SET_DATA_BIT(lined, j);
bval = GET_DATA_BYTE(bufs2, j);
tab38val = tab38[oval];
if (tab38val < 0) {
bval = L_MAX(0, bval + tab38val);
SET_DATA_BYTE(bufs2, j, bval);
} else if (tab38val > 0 ) {
bval = L_MIN(255, bval + tab38val);
SET_DATA_BYTE(bufs2, j, bval);
}
} else { /* lastlineflag == 1 */
for (j = 0; j < w - 1; j++) {
oval = GET_DATA_BYTE(bufs1, j);
if (tabval[oval])
SET_DATA_BIT(lined, j);
rval = GET_DATA_BYTE(bufs1, j + 1);
tab38val = tab38[oval];
if (tab38val == 0)
continue;
if (tab38val < 0)
rval = L_MAX(0, rval + tab38val);
else
rval = L_MIN(255, rval + tab38val);
SET_DATA_BYTE(bufs1, j + 1, rval);
}
/* do last pixel: (i, j) = (h - 1, w - 1) */
oval = GET_DATA_BYTE(bufs1, j);
if (tabval[oval])
SET_DATA_BIT(lined, j);
}
return;
}
/*!
* \brief make8To1DitherTables()
*
* \param[out] ptabval value assigned to output pixel; 0 or 1
* \param[out] ptab38 amount propagated to pixels left and below
* \param[out] ptab14 amount propagated to pixel to left and down
* \param[in] lowerclip values near 0 where the excess is not propagated
* \param[in] upperclip values near 255 where the deficit is not propagated
*
* \return 0 if OK, 1 on error
*/
l_ok
make8To1DitherTables(l_int32 **ptabval,
l_int32 **ptab38,
l_int32 **ptab14,
l_int32 lowerclip,
l_int32 upperclip)
{
l_int32 i;
l_int32 *tabval, *tab38, *tab14;
PROCNAME("make8To1DitherTables");
if (ptabval) *ptabval = NULL;
if (ptab38) *ptab38 = NULL;
if (ptab14) *ptab14 = NULL;
if (!ptabval || !ptab38 || !ptab14)
return ERROR_INT("table ptrs not all defined", procName, 1);
/* 3 lookup tables: 1-bit value, (3/8)excess, and (1/4)excess */
tabval = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
tab38 = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
tab14 = (l_int32 *)LEPT_CALLOC(256, sizeof(l_int32));
if (!tabval || !tab38 || !tab14)
return ERROR_INT("calloc failure to make small table", procName, 1);
*ptabval = tabval;
*ptab38 = tab38;
*ptab14 = tab14;
for (i = 0; i < 256; i++) {
if (i <= lowerclip) {
tabval[i] = 1;
tab38[i] = 0;
tab14[i] = 0;
} else if (i < 128) {
tabval[i] = 1;
tab38[i] = (3 * i + 4) / 8;
tab14[i] = (i + 2) / 4;
} else if (i < 255 - upperclip) {
tabval[i] = 0;
tab38[i] = (3 * (i - 255) + 4) / 8;
tab14[i] = ((i - 255) + 2) / 4;
} else { /* i >= 255 - upperclip */
tabval[i] = 0;
tab38[i] = 0;
tab14[i] = 0;
}
}
return 0;
}
#endif /* Documentation */