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*.o | ||
*.i | ||
*.s | ||
*.d | ||
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*.png | ||
*.jpg | ||
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CC:=gcc | ||
CFLAGS:=-std=c11 -Wall -Wextra -Winline -pedantic -Ofast -march=pentium4 -s -DNDEBUG | ||
CFLAGS:=-std=c11 -Wall -Wextra -Winline -pedantic -Ofast -march=pentium4 -DNDEBUG | ||
#CFLAGS:=-std=c11 -Wall -Wextra -pedantic -Og -g | ||
LFLAGS:=-s | ||
LIBS:=-ljpeg -lpng -lfftw3f -lm | ||
OBJS:=jpeg2png.o utils.o jpeg.o png.o box.o upsample.o compute.o | ||
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SRCS:=jpeg2png.c utils.c jpeg.c | ||
jpeg2png: $(OBJS) | ||
$(CC) $^ -o $@ $(LFLAGS) $(LIBS) | ||
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jpeg2png: jpeg2png.o utils.o jpeg.o png.o box.o | ||
$(CC) $^ -o $@ $(LIBS) | ||
-include $(OBJS:.o=.d) | ||
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%o: %.c *.h | ||
$(CC) $< -o $@ $(CFLAGS) | ||
%.o: %.c | ||
$(CC) -MMD $< -c -o $@ $(CFLAGS) |
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#include <stdint.h> | ||
#include <fftw3.h> | ||
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#include "jpeg2png.h" | ||
#include "compute.h" | ||
#include "utils.h" | ||
#include "box.h" | ||
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static float compute_step(struct coef *coef, float *objective_gradient, float *fdata_x, float *fdata_y, float weight, float step_size) { | ||
int w = coef->w; | ||
int h = coef->h; | ||
float *fdata = coef->fdata; | ||
float alpha = weight / sqrt(4. / 2.); | ||
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for(int i = 0; i < h * w; i++) { | ||
objective_gradient[i] = 0.; | ||
} | ||
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float tv = 0.; | ||
for(int y = 0; y < h; y++) { | ||
for(int x = 0; x < w; x++) { | ||
// forward gradient x | ||
float g_x = x >= w-1 ? 0. : *p(fdata, x+1, y, w, h) - *p(fdata, x, y, w, h); | ||
// forward gradient y | ||
float g_y = y >= h-1 ? 0. : *p(fdata, x, y+1, w, h) - *p(fdata, x, y, w, h); | ||
// norm | ||
float g_norm = sqrt(g_x * g_x + g_y * g_y); | ||
tv += g_norm; | ||
// compute derivatives | ||
if(g_norm != 0) { | ||
*p(objective_gradient, x, y, w, h) += -(g_x + g_y) / g_norm; | ||
if(x < w-1) { | ||
*p(objective_gradient, x+1, y, w, h) += g_x / g_norm; | ||
} | ||
if(y < h-1) { | ||
*p(objective_gradient, x, y+1, w, h) += g_y / g_norm; | ||
} | ||
} | ||
if(alpha != 0.) { | ||
*p(fdata_x, x, y, w, h) = g_x; | ||
*p(fdata_y, x, y, w, h) = g_y; | ||
} | ||
} | ||
} | ||
// printf("tv = %f, %f\n", tv, tv / (w * h) / sqrt(2.)); | ||
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float tv2 = 0; | ||
if(alpha != 0.) { | ||
for(int y = 0; y < h; y++) { | ||
for(int x = 0; x < w; x++) { | ||
// backward x | ||
float g_xx = x <= 0 ? 0. : *p(fdata_x, x, y, w, h) - *p(fdata_x, x-1, y, w, h); | ||
// backward x | ||
float g_yx = x <= 0 ? 0. : *p(fdata_y, x, y, w, h) - *p(fdata_y, x-1, y, w, h); | ||
// backward y | ||
float g_xy = y <= 0 ? 0. : *p(fdata_x, x, y, w, h) - *p(fdata_x, x, y-1, w, h); | ||
// backward y | ||
float g_yy = y <= 0 ? 0. : *p(fdata_y, x, y, w, h) - *p(fdata_y, x, y-1, w, h); | ||
// norm | ||
float g2_norm = sqrt(g_xx * g_xx + g_yx * g_yx + g_xy * g_xy + g_yy * g_yy); | ||
tv2 += g2_norm; | ||
// compute derivatives | ||
if(g2_norm != 0.) { | ||
*p(objective_gradient, x, y, w, h) += alpha * (-(2. * g_xx + g_xy + g_yx + 2. * g_yy) / g2_norm); | ||
if(x > 0) { | ||
*p(objective_gradient, x-1, y, w, h) += alpha * ((g_yx + g_xx) / g2_norm); | ||
} | ||
if(x < w-1) { | ||
*p(objective_gradient, x+1, y, w, h) += alpha * ((g_xx + g_xy) / g2_norm); | ||
} | ||
if(y > 0) { | ||
*p(objective_gradient, x, y-1, w, h) += alpha * ((g_yy + g_xy) / g2_norm); | ||
} | ||
if(y < h-1) { | ||
*p(objective_gradient, x, y+1, w, h) += alpha * ((g_yy + g_yx) / g2_norm); | ||
} | ||
if(x < w-1 && y > 0) { | ||
*p(objective_gradient, x+1, y-1, w, h) += alpha * ((-g_xy) / g2_norm); | ||
} | ||
if(x > 0 && y < h-1) { | ||
*p(objective_gradient, x-1, y+1, w, h) += alpha * ((-g_yx) / g2_norm); | ||
} | ||
} | ||
} | ||
} | ||
// printf("tv2 = %f, %f\n", tv2, tv2 / (w * h)); | ||
} | ||
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for(int i = 0; i < h * w; i++) { | ||
fdata[i] -= step_size * (objective_gradient[i] / (alpha + 1.)); | ||
} | ||
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return (tv + alpha * tv2) / (alpha + 1.); | ||
} | ||
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struct compute_projection_aux { | ||
float * restrict q_min; | ||
float * restrict q_max; | ||
float *temp; | ||
fftwf_plan dct; | ||
fftwf_plan idct; | ||
}; | ||
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static void compute_projection_init(struct coef *coef, uint16_t quant_table[64],struct compute_projection_aux *aux) { | ||
int w = coef->w; | ||
int h = coef->h; | ||
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float *q_max = fftwf_alloc_real(h * w); | ||
if(!q_max) { die("allocation error"); } | ||
float *q_min = fftwf_alloc_real(h * w); | ||
if(!q_min) { die("allocation error"); } | ||
int blocks = (h / 8) * (w / 8); | ||
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for(int i = 0; i < blocks; i++) { | ||
for(int j = 0; j < 64; j++) { | ||
q_max[i*64+j] = (coef->data[i*64+j] + 0.5) * quant_table[j]; | ||
q_min[i*64+j] = (coef->data[i*64+j] - 0.5) * quant_table[j]; | ||
} | ||
} | ||
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for(int i = 0; i < blocks; i++) { | ||
for(int v = 0; v < 8; v++) { | ||
for(int u = 0; u < 8; u++) { | ||
q_max[i*64 + v*8+u] /= a(u) * a(v); | ||
q_min[i*64 + v*8+u] /= a(u) * a(v); | ||
} | ||
} | ||
} | ||
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aux->q_min = q_min; | ||
aux->q_max = q_max; | ||
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float *temp = fftwf_alloc_real(h * w); | ||
if(!temp) { die("allocation error"); } | ||
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aux->temp = temp; | ||
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fftwf_plan dct = fftwf_plan_many_r2r( | ||
2, (int[]){8, 8}, blocks, | ||
temp, (int[]){8, 8}, 1, 64, | ||
temp, (int[]){8, 8}, 1, 64, | ||
(void*)(int[]){FFTW_REDFT10, FFTW_REDFT10}, FFTW_ESTIMATE); | ||
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aux->dct = dct; | ||
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fftwf_plan idct = fftwf_plan_many_r2r( | ||
2, (int[]){8, 8}, blocks, | ||
temp, (int[]){8, 8}, 1, 64, | ||
temp, (int[]){8, 8}, 1, 64, | ||
(void*)(int[]){FFTW_REDFT01, FFTW_REDFT01}, FFTW_ESTIMATE); | ||
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aux->idct = idct; | ||
} | ||
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static void compute_projection_destroy(struct compute_projection_aux *aux) { | ||
fftwf_destroy_plan(aux->idct); | ||
fftwf_destroy_plan(aux->dct); | ||
fftwf_free(aux->temp); | ||
fftwf_free(aux->q_min); | ||
fftwf_free(aux->q_max); | ||
} | ||
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static void compute_projection(struct coef *coef, struct compute_projection_aux *aux) { | ||
int w = coef->w; | ||
int h = coef->h; | ||
float *fdata = coef->fdata; | ||
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float *temp = aux->temp; | ||
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int blocks = (h / 8) * (w / 8); | ||
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box(fdata, temp, w, h); | ||
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fftwf_execute(aux->dct); | ||
for(int i = 0; i < h * w; i++) { | ||
temp[i] /= 16.; | ||
} | ||
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for(int i = 0; i < h * w; i++) { | ||
temp[i] = CLAMP(temp[i], aux->q_min[i], aux->q_max[i]); | ||
} | ||
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fftwf_execute(aux->idct); | ||
for(int i = 0; i < blocks * 64; i++) { | ||
temp[i] /= 16.; | ||
} | ||
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unbox(temp, fdata, w, h); | ||
} | ||
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void compute(struct coef *coef, uint16_t quant_table[64]) { | ||
struct compute_projection_aux cpa; | ||
compute_projection_init(coef, quant_table, &cpa); | ||
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int h = coef->h; | ||
int w = coef->w; | ||
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float *fdata_x = fftwf_alloc_real(h * w); | ||
if(!fdata_x) { die("allocation error"); } | ||
float *fdata_y = fftwf_alloc_real(h * w); | ||
if(!fdata_y) { die("allocation error"); } | ||
float *objective_gradient = fftwf_alloc_real(h * w); | ||
if(!objective_gradient) { die("allocation error"); } | ||
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const int N = 100; | ||
float tv; | ||
for(int i = 0; i < N; i++) { | ||
compute_projection(coef, &cpa); | ||
tv = compute_step(coef, fdata_x, fdata_y, objective_gradient, 0.3, 1. / sqrt(1 + N)); | ||
} | ||
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printf("objective = %f, %f\n", tv, tv / (coef->w * coef->h) / sqrt(2.)); | ||
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fftwf_free(fdata_x); | ||
fftwf_free(fdata_y); | ||
fftwf_free(objective_gradient); | ||
compute_projection_destroy(&cpa); | ||
} |
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#ifndef JPEG2PNG_COMPUTE_H | ||
#define JPEG2PNG_COMPUTE_H | ||
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#include <stdint.h> | ||
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void compute(struct coef *coef, uint16_t quant_table[64]); | ||
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#endif |
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