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https://github.com/ysoftdevs/th.git
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139 lines
4.3 KiB
C
139 lines
4.3 KiB
C
#include <stdio.h>
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#include <stdlib.h>
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#include <sys/time.h>
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#include <stdint.h>
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#include <math.h>
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#define MAX_PATH_LEN (32 * 1024)
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#define MAX_KERNEL_RADIUS 16
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static void error(const char * message) {
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fprintf(stderr, "ERROR: %s\n", message);
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exit(-1);
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}
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static void usage(const char * message, const char * app) {
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fprintf(stderr, "Usage: %s width height sigma file1 ... fileN\n", app);
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fprintf(stderr, "Example: %s 1920 1080 3 f1.gray f2.gray f3.gray\n", app);
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error(message);
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}
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static double timer_ms() {
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struct timeval tv;
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gettimeofday(&tv, NULL);
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return tv.tv_sec * 1000.0 + tv.tv_usec * 0.001;
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}
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static int saturate(int n, int max) {
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return n < 0 ? 0 : (n < max ? n : max - 1);
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}
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static int get_pix(const uint8_t * src, int w, int h, int x, int y) {
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return src[saturate(x, w) + saturate(y, h) * w];
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}
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static float gaussian(float sigma, float x) {
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const float e = x / sigma;
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return exp(-0.5 * e * e);
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}
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int main(int argn, char ** argv) {
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if(argn < 4) {
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usage("Wrong argument count", *argv);
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}
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// read width and height
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const int w = atoi(argv[1]);
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const int h = atoi(argv[2]);
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if(w < 1 || h < 1) {
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usage("Both width and height must be positive integers", *argv);
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}
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const int pix_count = w * h;
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// read sigma and prepare normalized kernel (sum = 1)
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const float sigma = atof(argv[3]);
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float kernel[MAX_KERNEL_RADIUS + 1];
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float kernel_sum = 0.0f;
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for(int k = 0; k <= MAX_KERNEL_RADIUS; k++) {
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kernel_sum += kernel[k] = gaussian(sigma, k);
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}
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kernel_sum = 2.0 * kernel_sum - kernel[0];
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for(int k = 0; k <= MAX_KERNEL_RADIUS; k++) {
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kernel[k] /= kernel_sum;
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}
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// dump the kernel
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printf("Convolution kernel:");
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for(int k = -MAX_KERNEL_RADIUS; k <= MAX_KERNEL_RADIUS; k++) {
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printf(" %f", kernel[k < 0 ? -k : k]);
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}
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printf("\n");
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// prepare buffers
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uint8_t * const data_ptr = (uint8_t*)malloc(pix_count);
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uint8_t * const temp_ptr = (uint8_t*)malloc(pix_count);
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// measure time of processing of all images
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const double begin = timer_ms();
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for(int i = 4; i < argn; i++) {
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// read input data
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printf("Processing '%s'\n", argv[i]);
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FILE * const src_file = fopen(argv[i], "rb");
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if(NULL == src_file || 1 != fread(data_ptr, pix_count, 1, src_file)) {
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error(argv[i]);
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}
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fclose(src_file);
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// vertical pass: for each pixel
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uint8_t * out_pix_ptr = temp_ptr;
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for(int y = 0; y < h; y++) {
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for(int x = 0; x < w; x++) {
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// sum up all weighted neighbors and the pixel itself
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float result = kernel[0] * get_pix(data_ptr, w, h, x, y);
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for(int k = 1; k <= MAX_KERNEL_RADIUS; k++) {
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result += kernel[k] * (get_pix(data_ptr, w, h, x, y + k)
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+ get_pix(data_ptr, w, h, x, y - k));
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}
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*(out_pix_ptr++) = saturate((int)result, 256);
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}
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}
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// horizontal pass: for each pixel
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out_pix_ptr = data_ptr;
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for(int y = 0; y < h; y++) {
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for(int x = 0; x < w; x++) {
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// sum up all weighted neighbors and the pixel itself
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float result = kernel[0] * get_pix(temp_ptr, w, h, x, y);
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for(int k = 1; k <= MAX_KERNEL_RADIUS; k++) {
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result += kernel[k] * (get_pix(temp_ptr, w, h, x + k, y)
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+ get_pix(temp_ptr, w, h, x - k, y));
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}
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*(out_pix_ptr++) = saturate((int)result, 256);
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}
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}
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// compose output filename
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char out_path[MAX_PATH_LEN + 1];
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snprintf(out_path, MAX_PATH_LEN, "%s.out.gray", argv[i]);
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// write data to output file
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FILE * const out_file = fopen(out_path, "wb");
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if(NULL == out_file || 1 != fwrite(data_ptr, pix_count, 1, out_file)) {
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error(out_path);
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}
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fclose(out_file);
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}
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const double end = timer_ms();
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// print total time
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printf("time: %f ms, %d images => %f ms/image\n",
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end - begin, argn - 4, (end - begin) / (argn - 4));
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// cleanup
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free(temp_ptr);
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free(data_ptr);
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return 0;
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}
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