+#define IMAGER_NO_CONTEXT
#include "imager.h"
#include "imageri.h"
#include <stdlib.h>
unsigned char ch;
unsigned int new_color;
i_color rcolor;
+ dIMCTXim(im);
- mm_log((1,"i_contrast(im %p, intensity %f)\n", im, intensity));
+ im_log((aIMCTX, 1,"i_contrast(im %p, intensity %f)\n", im, intensity));
if(intensity < 0) return;
i_img_dim x, y;
int ch;
int invert_channels = all ? im->channels : i_img_color_channels(im);
+ dIMCTXim(im);
- mm_log((1,"i_hardinvert(im %p)\n", im));
+ im_log((aIMCTX,1,"i_hardinvert)low(im %p, all %d)\n", im, all));
#code im->bits <= 8
IM_COLOR *row, *entry;
float damount = amount * 2;
i_color rcolor;
int color_inc = 0;
+ dIMCTXim(im);
- mm_log((1,"i_noise(im %p, intensity %.2f\n", im, amount));
+ im_log((aIMCTX, 1,"i_noise(im %p, intensity %.2f\n", im, amount));
if(amount < 0) return;
double aX, aY, aL;
double fZ;
unsigned char px1, px2, py1, py2;
-
+ dIMCTXim(im);
i_img new_im;
- mm_log((1, "i_bumpmap(im %p, add_im %p, channel %d, light(" i_DFp "), st %" i_DF ")\n",
+ im_log((aIMCTX, 1, "i_bumpmap(im %p, add_im %p, channel %d, light(" i_DFp "), st %" i_DF ")\n",
im, bump, channel, i_DFcp(light_x, light_y), i_DFc(st)));
if(channel >= bump->channels) {
- mm_log((1, "i_bumpmap: channel = %d while bump image only has %d channels\n", channel, bump->channels));
+ im_log((aIMCTX, 1, "i_bumpmap: channel = %d while bump image only has %d channels\n", channel, bump->channels));
return;
}
i_color *Is) {
i_img new_im;
- int inflight;
i_img_dim x, y;
int ch;
i_img_dim mx, Mx, my, My;
fvec R; /* Reflection vector */
fvec V; /* Vision vector */
- mm_log((1, "i_bumpmap_complex(im %p, bump %p, channel %d, t(" i_DFp
+ dIMCTXim(im);
+
+ im_log((aIMCTX, 1, "i_bumpmap_complex(im %p, bump %p, channel %d, t(" i_DFp
"), Lx %.2f, Ly %.2f, Lz %.2f, cd %.2f, cs %.2f, n %.2f, Ia %p, Il %p, Is %p)\n",
im, bump, channel, i_DFcp(tx, ty), Lx, Ly, Lz, cd, cs, n, Ia, Il, Is));
if (channel >= bump->channels) {
- mm_log((1, "i_bumpmap_complex: channel = %d while bump image only has %d channels\n", channel, bump->channels));
+ im_log((aIMCTX, 1, "i_bumpmap_complex: channel = %d while bump image only has %d channels\n", channel, bump->channels));
return;
}
L.z = -Lz;
normalize(&L);
} else { /* Light is the position of the light source */
- inflight = 0;
L.x = -0.2;
L.y = -0.4;
L.z = 1;
}
}
+/*
+=item i_autolevels_mono(im, lsat, usat)
+
+Do autolevels, but monochromatically.
+
+=cut
+*/
+
+void
+i_autolevels_mono(i_img *im, float lsat, float usat) {
+ i_color val;
+ i_img_dim i, x, y, hist[256];
+ i_img_dim sum_lum, min_lum, max_lum;
+ i_img_dim upper_accum, lower_accum;
+ i_color *row;
+ dIMCTXim(im);
+ int adapt_channels = im->channels == 4 ? 2 : 1;
+ int color_channels = i_img_color_channels(im);
+ i_img_dim color_samples = im->xsize * color_channels;
+
+
+ im_log((aIMCTX, 1,"i_autolevels_mono(im %p, lsat %f,usat %f)\n", im, lsat,usat));
+
+ /* build the histogram in 8-bits, unless the image has a very small
+ range it should make little difference to the result */
+ sum_lum = 0;
+ for (i = 0; i < 256; i++)
+ hist[i] = 0;
+
+ row = mymalloc(im->xsize * sizeof(i_color));
+ /* create histogram for each channel */
+ for (y = 0; y < im->ysize; y++) {
+ i_color *p = row;
+ i_glin(im, 0, im->xsize, y, row);
+ if (im->channels > 2)
+ i_adapt_colors(adapt_channels, im->channels, row, im->xsize);
+ for (x = 0; x < im->xsize; x++) {
+ hist[p->channel[0]]++;
+ ++p;
+ }
+ }
+ myfree(row);
+
+ for(i = 0; i < 256; i++) {
+ sum_lum += hist[i];
+ }
+
+ min_lum = 0;
+ lower_accum = 0;
+ for (i = 0; i < 256; ++i) {
+ if (lower_accum < sum_lum * lsat)
+ min_lum = i;
+ lower_accum += hist[i];
+ }
+
+ max_lum = 255;
+ upper_accum = 0;
+ for(i = 255; i >= 0; i--) {
+ if (upper_accum < sum_lum * usat)
+ max_lum = i;
+ upper_accum += hist[i];
+ }
+
+#code im->bits <= 8
+ IM_SAMPLE_T *srow = mymalloc(color_samples * sizeof(IM_SAMPLE_T));
+#ifdef IM_EIGHT_BIT
+ IM_WORK_T low = min_lum;
+ i_sample_t lookup[256];
+#else
+ IM_WORK_T low = min_lum / 255.0 * IM_SAMPLE_MAX;
+#endif
+ double scale = 255.0 / (max_lum - min_lum);
+
+#ifdef IM_EIGHT_BIT
+ for (i = 0; i < 256; ++i) {
+ IM_WORK_T tmp = (i - low) * scale;
+ lookup[i] = IM_LIMIT(tmp);
+ }
+#endif
+
+ for(y = 0; y < im->ysize; y++) {
+ IM_GSAMP(im, 0, im->xsize, y, srow, NULL, color_channels);
+ for(i = 0; i < color_samples; ++i) {
+#ifdef IM_EIGHT_BIT
+ srow[i] = lookup[srow[i]];
+#else
+ IM_WORK_T tmp = (srow[i] - low) * scale;
+ srow[i] = IM_LIMIT(tmp);
+#endif
+ }
+ IM_PSAMP(im, 0, im->xsize, y, srow, NULL, color_channels);
+ }
+ myfree(srow);
+#/code
+}
+
/*
=item i_autolevels(im, lsat, usat, skew)
usat - fraction of pixels that will be truncated at the higher end of the spectrum
skew - not used yet
+Note: this code calculates levels and adjusts each channel separately,
+which will typically cause a color shift.
+
=cut
*/
i_img_dim gsum, gmin, gmax;
i_img_dim bsum, bmin, bmax;
i_img_dim rcl, rcu, gcl, gcu, bcl, bcu;
+ dIMCTXim(im);
- mm_log((1,"i_autolevels(im %p, lsat %f,usat %f,skew %f)\n", im, lsat,usat,skew));
+ im_log((aIMCTX, 1,"i_autolevels(im %p, lsat %f,usat %f,skew %f)\n", im, lsat,usat,skew));
rsum=gsum=bsum=0;
for(i=0;i<256;i++) rhist[i]=ghist[i]=bhist[i] = 0;
size_t bytes;
double *fdist;
+ dIMCTXim(im);
- mm_log((1,"i_gradgen(im %p, num %d, xo %p, yo %p, ival %p, dmeasure %d)\n", im, num, xo, yo, ival, dmeasure));
+ im_log((aIMCTX, 1,"i_gradgen(im %p, num %d, xo %p, yo %p, ival %p, dmeasure %d)\n", im, num, xo, yo, ival, dmeasure));
for(p = 0; p<num; p++) {
- mm_log((1,"i_gradgen: p%d(" i_DFp ")\n", p, i_DFcp(xo[p], yo[p])));
+ im_log((aIMCTX,1,"i_gradgen: p%d(" i_DFp ")\n", p, i_DFcp(xo[p], yo[p])));
ICL_info(&ival[p]);
}
fdist[p] = i_max(xd*xd, yd*yd); /* manhattan distance */
break;
default:
- i_fatal(3,"i_gradgen: Unknown distance measure\n");
+ im_fatal(aIMCTX, 3,"i_gradgen: Unknown distance measure\n");
}
cs += fdist[p];
}
i_img_dim x, y;
i_img_dim xsize = im->xsize;
i_img_dim ysize = im->ysize;
+ dIMCTXim(im);
- mm_log((1,"i_gradgen(im %p, num %d, xo %p, yo %p, ival %p, dmeasure %d)\n", im, num, xo, yo, ival, dmeasure));
+ im_log((aIMCTX,1,"i_gradgen(im %p, num %d, xo %p, yo %p, ival %p, dmeasure %d)\n", im, num, xo, yo, ival, dmeasure));
for(p = 0; p<num; p++) {
- mm_log((1,"i_gradgen: p%d(" i_DFp ")\n", p, i_DFcp(xo[p], yo[p])));
+ im_log((aIMCTX, 1,"i_gradgen: p%d(" i_DFp ")\n", p, i_DFcp(xo[p], yo[p])));
ICL_info(&ival[p]);
}
mindist = i_max(xd*xd, yd*yd); /* manhattan distance */
break;
default:
- i_fatal(3,"i_nearest_color: Unknown distance measure\n");
+ im_fatal(aIMCTX, 3,"i_nearest_color: Unknown distance measure\n");
}
for(p = 1; p<num; p++) {
curdist = i_max(xd*xd, yd*yd); /* manhattan distance */
break;
default:
- i_fatal(3,"i_nearest_color: Unknown distance measure\n");
+ im_fatal(aIMCTX, 3,"i_nearest_color: Unknown distance measure\n");
}
if (curdist < mindist) {
mindist = curdist;
i_img_dim ysize = im->ysize;
int *cmatch;
size_t ival_bytes, tval_bytes;
+ dIMCTXim(im);
- mm_log((1,"i_nearest_color(im %p, num %d, xo %p, yo %p, oval %p, dmeasure %d)\n", im, num, xo, yo, oval, dmeasure));
+ im_log((aIMCTX, 1,"i_nearest_color(im %p, num %d, xo %p, yo %p, oval %p, dmeasure %d)\n", im, num, xo, yo, oval, dmeasure));
i_clear_error();
mindist = i_max(xd*xd, yd*yd); /* manhattan distance */
break;
default:
- i_fatal(3,"i_nearest_color: Unknown distance measure\n");
+ im_fatal(aIMCTX, 3,"i_nearest_color: Unknown distance measure\n");
}
for(p = 1; p<num; p++) {
curdist = i_max(xd*xd, yd*yd); /* manhattan distance */
break;
default:
- i_fatal(3,"i_nearest_color: Unknown distance measure\n");
+ im_fatal(aIMCTX, 3,"i_nearest_color: Unknown distance measure\n");
}
if (curdist < mindist) {
mindist = curdist;
i_nearest_color_foo(im, num, xo, yo, ival, dmeasure);
+ myfree(cmatch);
+ myfree(ival);
+ myfree(tval);
+
return 1;
}
i_img *out;
int outchans, diffchans;
i_img_dim xsize, ysize;
+ dIMCTXim(im1);
i_clear_error();
if (im1->channels != im2->channels) {
i_fcolor *line = NULL;
i_fcolor *work = NULL;
size_t line_bytes;
- i_fountain_seg *my_segs;
i_fill_combine_f combine_func = NULL;
i_fill_combinef_f combinef_func = NULL;
+ dIMCTXim(im);
i_clear_error();
fount_init_state(&state, xa, ya, xb, yb, type, repeat, combine,
super_sample, ssample_param, count, segs);
- my_segs = state.segs;
for (y = 0; y < im->ysize; ++y) {
i_glinf(im, 0, im->xsize, y, line);
got_one = f->state.ssfunc(&c, x, y, &f->state);
else
got_one = fount_getat(&c, x, y, &f->state);
-
- *data++ = c;
+
+ if (got_one)
+ *data++ = c;
++x;
}
projects / imager.git / blobdiff