#include "hsv.h" #include #include #include #define FAIL -1 #define OK 0 int test_conv(int r, int g, int b, double tolerance) { vec3 rgb = {r/255.0, g/255.0, b/255.0}; double hsv[3]; vec3 out; int test[3]; rgb_to_hsv(rgb, hsv); hsv_to_rgb(hsv, out); test[0] = out[0]*255.0; test[1] = out[1]*255.0; test[2] = out[2]*255.0; if(fabs(rgb[0] - out[0]) > tolerance || fabs(rgb[1] - out[1]) > tolerance || fabs(rgb[2] - out[2]) > tolerance) { fprintf(stderr, "FAIL:\t#%02X%02X%02X -> #%02X%02X%02X\nIN:\t(%.12f %.12f %.12f)\nOUT:\t(%.12f %.12f %.12f)\nDIF:\t(%.12f %.12f %.12f)\n", r, g, b, test[0], test[1], test[2], rgb[0], rgb[1], rgb[2], out[0], out[1], out[2], rgb[0]-out[0], rgb[1]-out[1], rgb[2]-out[2]); return FAIL; } else { return OK; } } int main() { for(int r = 0; r < 256; r++) { for(int g = 0; g < 256; g++) { for(int b = 0; b < 256; b++) { if(test_conv(r, g, b, 0.001) != OK) { return -1; } } } } } // To RGB steps: // 1. C = V * S <- maps to 3 in inv // 2. H' = H * 6 <- maps to 7 in inv // 3. X = C * (1 - abs(H' - 2*floor(H'/2) - 1)) // 4. M = V - C <- maps to 4 in inv // 5. R = V, G = X + M, B = M // To HSV steps: // 1. V = max(R, G, B) <- maps to 5,R in inv // 2. M = min(R, G, B) <- maps to 5,B in inv // 3. S = C / V <- maps to 1 in inv // 4. C = V - M <- maps to 4 in inv // 5. X = G - M // 6. H' = X/C // 7. H = H'/6 <- maps to 2 in inv // // So out of the two algos, the only step that doest match exactly so far is // RGB: X = C * (1 - abs(H' - 2*floor(H'/2) - 1)) // HSV: X = G - M, H' = X/C // // After floor(): // RGB: X = C * (1 - abs(H' - 1)) // // After abs() assuming H' = [0, 1]: // RGB: X = C * (1 - (1 - H')) // RGB: X = C * H'