1 #define IMAGER_NO_CONTEXT
6 gauss(int x, double std) {
7 return 1.0/(sqrt(2.0*PI)*std)*exp(-(double)(x)*(double)(x)/(2*std*std));
10 /* Counters are as follows
15 pc: coeff equalization
21 i_gaussian(i_img *im, double stddev) {
22 return i_gaussian2( im, stddev, stddev );
25 typedef struct s_gauss_coeff {
32 static t_gauss_coeff *build_coeff( i_img *im, double stddev ) {
35 int radius, diameter, i;
36 t_gauss_coeff *ret = mymalloc(sizeof(struct s_gauss_coeff));
40 radius = ceil(2 * stddev);
42 radius = ceil(3 * stddev);
44 diameter = 1 + radius * 2;
46 coeff = mymalloc(sizeof(double) * diameter);
48 for(i=0;i <= radius;i++)
49 coeff[radius + i]=coeff[radius - i]=gauss(i, stddev);
51 for(i=0; i < diameter; i++)
53 for(i=0;i < diameter;i++) {
55 // im_log((aIMCTX, 1, "i_gaussian2 Y i=%i coeff=%.2f\n", i, coeff[i] ));
58 ret->diameter = diameter;
64 static void free_coeff(t_gauss_coeff *co ) {
66 if( co->coeff != NULL )
71 #define img_copy(dest, src) i_copyto( (dest), (src), 0,0, (src)->xsize,(src)->ysize, 0,0);
76 i_gaussian2(i_img *im, double stddevX, double stddevY) {
80 t_gauss_coeff *co = NULL;
81 double res[MAXCHANNELS];
85 im_log((aIMCTX, 1,"i_gaussian2(im %p, stddev %.2f,%.2f)\n",im,stddevX,stddevY));
89 i_push_error(0, "stddevX must be positive");
93 i_push_error(0, "stddevY must be positive");
97 if( stddevX == stddevY && stddevY == 0 ) {
98 i_push_error(0, "stddevX or stddevY must be positive");
103 /* totally silly cutoff */
104 if (stddevX > 1000) {
107 if (stddevY > 1000) {
111 timg = i_sametype(im, im->xsize, im->ysize);
114 /* Build Y coefficient matrix */
115 co = build_coeff( im, stddevX );
116 im_log((aIMCTX, 1, "i_gaussian2 X coeff radius=%i diamter=%i coeff=%p\n", co->radius, co->diameter, co->coeff));
119 im_log((aIMCTX, 1, "i_gaussian2 X coeff is unity\n"));
130 im_log((aIMCTX, 1, "i_gaussian2 X blur from im=%p to timg=%p\n", im, timg));
132 for(y = 0; y < im->ysize; y++) {
133 for(x = 0; x < im->xsize; x++) {
135 for(ch=0;ch<im->channels;ch++)
137 for(c = 0;c < co->diameter; c++)
138 if (IM_GPIX(im,x+c-co->radius,y,&rcolor)!=-1) {
139 for(ch=0;ch<im->channels;ch++)
140 res[ch]+= rcolor.channel[ch] * co->coeff[c];
143 for(ch=0;ch<im->channels;ch++) {
144 double value = res[ch] / pc;
145 rcolor.channel[ch] = value > IM_SAMPLE_MAX ? IM_SAMPLE_MAX : IM_ROUND(value);
147 IM_PPIX(timg, x, y, &rcolor);
150 /* processing is im -> timg=yin -> im=yout */
155 /* processing is im=yin -> timg=yout -> im */
161 if( stddevX != stddevY ) {
167 /* Build Y coefficient matrix */
168 co = build_coeff( im, stddevY );
169 im_log((aIMCTX, 1, "i_gaussian2 Y coeff radius=%i diamter=%i coeff=%p\n", co->radius, co->diameter, co->coeff));
174 im_log((aIMCTX, 1, "i_gaussian2 Y blur from yin=%p to yout=%p\n", yin, yout));
175 for(x = 0;x < im->xsize; x++) {
176 for(y = 0; y < im->ysize; y++) {
178 for(ch=0; ch<im->channels; ch++)
180 for(c=0; c < co->diameter; c++)
181 if (IM_GPIX(yin, x, y+c-co->radius, &rcolor)!=-1) {
182 for(ch=0;ch<yin->channels;ch++)
183 res[ch]+= rcolor.channel[ch] * co->coeff[c];
186 for(ch=0;ch<yin->channels;ch++) {
187 double value = res[ch]/pc;
188 rcolor.channel[ch] = value > IM_SAMPLE_MAX ? IM_SAMPLE_MAX : IM_ROUND(value);
190 IM_PPIX(yout, x, y, &rcolor);
194 im_log((aIMCTX, 1, "i_gaussian2 copying yout=%p to im=%p\n", yout, im));
195 img_copy( im, yout );
199 im_log((aIMCTX, 1, "i_gaussian2 Y coeff is unity\n"));
201 im_log((aIMCTX, 1, "i_gaussian2 copying timg=%p to im=%p\n", timg, im));
202 img_copy( im, timg );
206 im_log((aIMCTX, 1, "i_gaussian2 im=%p\n", im));
207 im_log((aIMCTX, 1, "i_gaussian2 timg=%p\n", timg));
208 im_log((aIMCTX, 1, "i_gaussian2 yin=%p\n", yin));
209 im_log((aIMCTX, 1, "i_gaussian2 yout=%p\n", yout));