/* Copyright (c) 1989 Regents of the University of California */ #ifndef lint static char SCCSid[] = "$SunId$ LBL"; #endif /* * colortab.c - allocate and control dynamic color table. * * We start off with a uniform partition of color space. * As pixels are sent to the frame buffer, a histogram is built. * When a new color table is requested, the histogram is used * to make a pseudo-optimal partition, after which the * histogram is cleared. This algorithm * performs only as well as the next drawing's color * distribution is correlated to the last. */ #include "color.h" #define NULL 0 /* histogram resolution */ #define NRED 24 #define NGRN 32 #define NBLU 16 #define HMAX NGRN /* minimum box count for adaptive partition */ #define MINSAMP 7 /* maximum distance^2 before color reassign */ #define MAXDST2 12 /* map a color */ #define map_col(c,p) clrmap[p][ colval(c,p)<1. ? \ (int)(colval(c,p)*256.) : 255 ] /* color partition tree */ #define CNODE short #define set_branch(p,c) ((c)<<2|(p)) #define set_pval(pv) ((pv)<<2|3) #define is_branch(cn) (((cn)&3)!=3) #define is_pval(cn) (((cn)&3)==3) #define part(cn) ((cn)>>2) #define prim(cn) ((cn)&3) #define pval(cn) ((cn)>>2) /* our color table */ static struct tabent { long sum[3]; /* sum of colors using this entry */ long n; /* number of colors */ short ent[3]; /* current table value */ } *clrtab = NULL; /* color cube partition */ static CNODE *ctree = NULL; /* our color correction map */ static BYTE clrmap[3][256]; /* histogram of colors used */ static unsigned short histo[NRED][NGRN][NBLU]; /* initial color cube boundary */ static int CLRCUBE[3][2] = {0,NRED,0,NGRN,0,NBLU}; int new_ctab(ncolors) /* start new color table with max ncolors */ int ncolors; { int treesize; if (ncolors < 1) return(0); /* free old tables */ if (clrtab != NULL) free((char *)clrtab); if (ctree != NULL) free((char *)ctree); /* get new tables */ for (treesize = 1; treesize < ncolors; treesize <<= 1) ; treesize <<= 1; clrtab = (struct tabent *)calloc(ncolors, sizeof(struct tabent)); ctree = (CNODE *)malloc(treesize*sizeof(CNODE)); if (clrtab == NULL || ctree == NULL) return(0); /* partition color space */ cut(ctree, 0, CLRCUBE, 0, ncolors); /* clear histogram */ bzero((char *)histo, sizeof(histo)); /* return number of colors used */ return(ncolors); } int get_pixel(col, set_pixel) /* get pixel for color */ COLOR col; int (*set_pixel)(); { int r, g, b; int cv[3]; register CNODE *tp; register int h; /* map color */ r = map_col(col,RED); g = map_col(col,GRN); b = map_col(col,BLU); /* reduce resolution */ cv[RED] = (r*NRED)>>8; cv[GRN] = (g*NGRN)>>8; cv[BLU] = (b*NBLU)>>8; /* add to histogram */ histo[cv[RED]][cv[GRN]][cv[BLU]]++; /* find pixel in tree */ for (tp = ctree, h = 0; is_branch(*tp); h++) if (cv[prim(*tp)] < part(*tp)) tp += 1< MAXDST2) { clrtab[h].ent[RED] = r; clrtab[h].ent[GRN] = g; /* reassign pixel */ clrtab[h].ent[BLU] = b; #ifdef notdef printf("pixel %d = (%d,%d,%d) (%d refs)\n", h, r, g, b, clrtab[h].n); #endif (*set_pixel)(h, r, g, b); } return(h); /* return pixel value */ } make_gmap(gam) /* make gamma correction map */ double gam; { extern double pow(); register int i; for (i = 0; i < 256; i++) clrmap[RED][i] = clrmap[GRN][i] = clrmap[BLU][i] = 256.0 * pow(i/256.0, 1.0/gam); } set_cmap(rmap, gmap, bmap) /* set custom color correction map */ BYTE *rmap, *gmap, *bmap; { bcopy((char *)rmap, (char *)clrmap[RED], 256); bcopy((char *)gmap, (char *)clrmap[GRN], 256); bcopy((char *)bmap, (char *)clrmap[BLU], 256); } static cut(tree, level, box, c0, c1) /* partition color space */ register CNODE *tree; int level; register int box[3][2]; int c0, c1; { int kb[3][2]; if (c1-c0 <= 1) { /* assign pixel */ *tree = set_pval(c0); return; } /* split box */ *tree = split(box); bcopy((char *)box, (char *)kb, sizeof(kb)); /* do left (lesser) branch */ kb[prim(*tree)][1] = part(*tree); cut(tree+(1<>1); /* do right branch */ kb[prim(*tree)][0] = part(*tree); kb[prim(*tree)][1] = box[prim(*tree)][1]; cut(tree+(1<<(level+1)), level+1, kb, (c0+c1)>>1, c1); } static int split(box) /* find median cut for box */ register int box[3][2]; { #define c0 r register int r, g, b; int pri; int t[HMAX], med; /* find dominant axis */ pri = RED; if (box[GRN][1]-box[GRN][0] > box[pri][1]-box[pri][0]) pri = GRN; if (box[BLU][1]-box[BLU][0] > box[pri][1]-box[pri][0]) pri = BLU; /* sum histogram over box */ med = 0; switch (pri) { case RED: for (r = box[RED][0]; r < box[RED][1]; r++) { t[r] = 0; for (g = box[GRN][0]; g < box[GRN][1]; g++) for (b = box[BLU][0]; b < box[BLU][1]; b++) t[r] += histo[r][g][b]; med += t[r]; } break; case GRN: for (g = box[GRN][0]; g < box[GRN][1]; g++) { t[g] = 0; for (b = box[BLU][0]; b < box[BLU][1]; b++) for (r = box[RED][0]; r < box[RED][1]; r++) t[g] += histo[r][g][b]; med += t[g]; } break; case BLU: for (b = box[BLU][0]; b < box[BLU][1]; b++) { t[b] = 0; for (r = box[RED][0]; r < box[RED][1]; r++) for (g = box[GRN][0]; g < box[GRN][1]; g++) t[b] += histo[r][g][b]; med += t[b]; } break; } if (med < MINSAMP) /* if too sparse, split at midpoint */ return(set_branch(pri,(box[pri][0]+box[pri][1])>>1)); /* find median position */ med >>= 1; for (c0 = box[pri][0]; med > 0; c0++) med -= t[c0]; if (c0 > (box[pri][0]+box[pri][1])>>1) /* if past the midpoint */ c0--; /* part left of median */ return(set_branch(pri,c0)); #undef c0 }