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qrscq.cc
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/*
* This file is part of qrpicture, photo realistic QR-codes.
* Copyright (C) 2007, [email protected]
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Affero General Public License as published
* by the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Affero General Public License for more details.
*
* You should have received a copy of the GNU Affero General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
/*
* Based on the original work of:
* Copyright (c) 2006 Derrick Coetzee
*
* Permission is hereby granted, free of charge, to any person obtaining
* a copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modify, merge, publish,
* distribute, sublicense, and/or sell copies of the Software, and to
* permit persons to whom the Software is furnished to do so, subject to
* the following conditions:
*
* The above copyright notice and this permission notice shall be
* included in all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
*/
#ifndef FILTER
#define FILTER 5
#endif
unsigned char imgQR[93*93];
double gsavg;
#define TOGRAY_SRGB(R,G,B) ((R)*0.212656 + (G)*0.715158 + (B)*0.072186)
#define TOGRAY_PAL(R,G,B) ((R)*0.299 + (G)*0.587 + (B)*0.114 )
#define TO_GRAY(R,G,B) TOGRAY_SRGB(R,G,B)
static int seqnr = 0;
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#include <math.h>
#include <stdio.h>
#include <time.h>
#include <getopt.h>
#include <unistd.h>
#include <stdlib.h>
#include <stdarg.h>
#include <string.h>
#include <ctype.h>
#include <gd.h>
#include <sys/times.h>
#include <string>
int verbose = 0;
double opt_thresh = 0.22; // 0.26;
int opt_filter = 1;
int opt_hksk = 0;
int opt_palette_size;
int hksk[99][3] = {
{0,0,0},
{255,255,255},
{246,233,143},
{244,239,27},
{251,243,21},
{239,213,34},
{232,196,37},
{223,168,39},
{214,138,39},
{211,127,39},
{201,77,38},
{225,174,148},
{199,63,38},
{196,24,42},
{195,25,36},
{191,25,58},
{160,37,49},
{161,35,71},
{125,44,62},
{220,154,166},
{200,63,56},
{196,18,69},
{186,19,91},
{198,0,114},
{175,10,119},
{192,0,134},
{174,22,101},
{142,11,135},
{174,0,135},
{186,0,135},
{135,13,136},
{104,20,136},
{71,45,145},
{89,47,145},
{88,22,137},
{13,44,90},
{70,113,186},
{35,132,185},
{22,45,98},
{51,53,148},
{49,78,163},
{42,107,183},
{91,86,166},
{80,138,195},
{11,161,126},
{15,161,213},
{29,142,199},
{126,190,230},
{28,161,169},
{35,160,146},
{102,177,140},
{40,149,96},
{27,128,95},
{49,116,89},
{38,139,75},
{93,126,84},
{26,140,133},
{103,170,67},
{44,77,13},
{131,134,66},
{106,140,56},
{97,163,63},
{138,188,63},
{149,192,61},
{160,197,59},
{218,203,41},
{229,231,35},
{212,173,42},
{204,144,42},
{175,133,24},
{139,100,12},
{140,124,54},
{77,46,3},
{99,62,43},
{133,54,43},
{191,89,39},
{157,61,22},
{128,65,49},
{106,47,36},
{24,23,21},
{188,183,155},
{59,50,40},
{173,168,168},
{124,127,126},
{77,85,85},
{152,152,131},
{140,138,124},
{55,59,46},
{133,115,77},
{161,160,159},
{-1,-1,-1},
};
void logline(const char *fmt, ...)
{
struct tms tms;
times(&tms);
static int ticks_per_sec = 0;
if (!ticks_per_sec)
ticks_per_sec = sysconf(_SC_CLK_TCK);
static clock_t t0, tlast;
clock_t t = tms.tms_utime;
if (tlast == 0)
t0 = tlast = t;
fprintf(stderr, "%7.3f(%7.3f) ", (t-t0)*1.0/ticks_per_sec, (t-tlast)*1.0/ticks_per_sec);
tlast = t;
va_list ap;
va_start(ap, fmt);
vfprintf(stderr, fmt, ap);
va_end(ap);
}
using namespace std;
class Pixel
{
public:
Pixel()
{
r = g = b = 0;
}
Pixel(double r, double g, double b)
{
this->r = r;
this->g = g;
this->b = b;
}
Pixel(const Pixel& rhs)
{
r = rhs.r;
g = rhs.g;
b = rhs.b;
}
Pixel& operator=(const Pixel rhs)
{
r = rhs.r;
g = rhs.g;
b = rhs.b;
return *this;
}
Pixel& operator=(const double scalar)
{
r = scalar;
g = scalar;
b = scalar;
return *this;
}
Pixel& operator+=(Pixel rhs) {
r += rhs.r;
g += rhs.g;
b += rhs.b;
return *this;
}
Pixel& operator*=(double scalar) {
r *= scalar;
g *= scalar;
b *= scalar;
return *this;
}
Pixel operator*(double scalar) {
return Pixel(this->r * scalar, this->g * scalar, this->b * scalar);
}
public:
double r,g,b;
};
template <typename T>
class array2d
{
public:
array2d(int width, int height)
{
this->width = width;
this->height = height;
this->ymul = this->width + 2;
this->ofs = 2 * this->ymul + 2;
data = new T[(this->height + 2) * this->ymul + this->ofs];
memset(this->data, 0, sizeof(T[(this->height + 2) * this->ymul + this->ofs]));
}
array2d(const array2d<T>& rhs)
{
width = rhs.width;
height = rhs.height;
this->ymul = (this->width + 2) * 1;
this->ofs = 2 * this->ymul + 2 * 1;
data = new T[(this->height + 2) * this->ymul + this->ofs];
memcpy(this->data, rhs.data, sizeof(T[(this->height + 2) * this->ymul + this->ofs]));
}
~array2d()
{
delete [] data;
}
T& operator()(int col, int row)
{
return data[row*ymul + col + ofs];
}
int get_width() { return width; }
int get_height() { return height; }
array2d<T>& operator*=(T scalar) {
for(int i=0; i<width; i++) {
for(int j=0; j<height; j++) {
(*this)(i,j) *= scalar;
}
}
return *this;
}
array2d<T> operator*(T scalar) {
array2d<T> result(*this);
result = result*scalar;
return result;
}
private:
T* data;
int width, height;
int ymul, ofs;
};
template <typename T>
array2d<T> operator*(T scalar, array2d<T> a) {
return a*scalar;
}
class CoarseVariables
{
public:
CoarseVariables(int width, int height, int depth) {
this->width = width;
this->height = height;
this->depth = depth;
this->xmul = depth;
this->ymul = (this->width + 2) * this->xmul;
this->ofs = 2 * this->ymul + 2 * this->xmul;
data = new double[(this->height + 2) * this->ymul + this->ofs];
}
~CoarseVariables() {
delete[] data;
}
int get_width() {
return width;
}
int get_height() {
return height;
}
int get_depth() {
return depth;
}
double& operator()(int x, int y, int z) {
return data[y*ymul + x*xmul + z + ofs];
}
void clear_border()
{
for (int i=0; i<ofs; i++) {
data[i] = 0;
data[(this->height + 2) * this->ymul + i] = 0;
}
for (int y=0; y<height; y++) {
for (int x=0; x<2*xmul; x++) {
data[y*ymul+ofs-x-1] = 0;
}
}
}
public:
double *data;
int width, height, depth;
int ymul, xmul, ofs;
};
void compute_a_image(array2d< Pixel >& image,
double b00, double b01, double b02, double b11, double b12, double b22,
array2d< Pixel >& a)
{
const int ofs00 = &image(-2,-2) - &image(0,0) ;
const int ofs01 = &image(-1,-2) - &image(0,0) ;
const int ofs02 = &image( 0,-2) - &image(0,0) ;
const int ofs03 = &image(+1,-2) - &image(0,0) ;
const int ofs04 = &image(+2,-2) - &image(0,0) ;
const int ofs10 = &image(-2,-1) - &image(0,0) ;
const int ofs11 = &image(-1,-1) - &image(0,0) ;
const int ofs12 = &image( 0,-1) - &image(0,0) ;
const int ofs13 = &image(+1,-1) - &image(0,0) ;
const int ofs14 = &image(+2,-1) - &image(0,0) ;
const int ofs20 = &image(-2, 0) - &image(0,0) ;
const int ofs21 = &image(-1, 0) - &image(0,0) ;
const int ofs22 = &image( 0, 0) - &image(0,0) ;
const int ofs23 = &image(+1, 0) - &image(0,0) ;
const int ofs24 = &image(+2, 0) - &image(0,0) ;
const int ofs30 = &image(-2,+1) - &image(0,0) ;
const int ofs31 = &image(-1,+1) - &image(0,0) ;
const int ofs32 = &image( 0,+1) - &image(0,0) ;
const int ofs33 = &image(+1,+1) - &image(0,0) ;
const int ofs34 = &image(+2,+1) - &image(0,0) ;
const int ofs40 = &image(-2,+2) - &image(0,0) ;
const int ofs41 = &image(-1,+2) - &image(0,0) ;
const int ofs42 = &image( 0,+2) - &image(0,0) ;
const int ofs43 = &image(+1,+2) - &image(0,0) ;
const int ofs44 = &image(+2,+2) - &image(0,0) ;
for(int i_y = 0; i_y < a.get_height(); i_y++) {
for(int i_x = 0; i_x < a.get_width(); i_x++) {
Pixel *pdata = &image(i_x,i_y);
Pixel sum;
sum += pdata[ofs00] * b00;
sum += pdata[ofs01] * b01;
sum += pdata[ofs02] * b02;
sum += pdata[ofs03] * b01;
sum += pdata[ofs04] * b00;
sum += pdata[ofs10] * b01;
sum += pdata[ofs11] * b11;
sum += pdata[ofs12] * b12;
sum += pdata[ofs13] * b11;
sum += pdata[ofs14] * b01;
sum += pdata[ofs20] * b02;
sum += pdata[ofs21] * b12;
sum += pdata[ofs22] * b22;
sum += pdata[ofs23] * b12;
sum += pdata[ofs24] * b02;
sum += pdata[ofs30] * b01;
sum += pdata[ofs31] * b11;
sum += pdata[ofs32] * b12;
sum += pdata[ofs33] * b11;
sum += pdata[ofs34] * b01;
sum += pdata[ofs40] * b00;
sum += pdata[ofs41] * b01;
sum += pdata[ofs42] * b02;
sum += pdata[ofs43] * b01;
sum += pdata[ofs44] * b00;
a(i_x,i_y) = sum;
}
}
}
void compute_a_image_3(array2d< Pixel >& image,
double b11, double b12, double b22,
array2d< Pixel >& a)
{
const int ofs11 = &image(-1,-1) - &image(0,0) ;
const int ofs12 = &image( 0,-1) - &image(0,0) ;
const int ofs13 = &image(+1,-1) - &image(0,0) ;
const int ofs21 = &image(-1, 0) - &image(0,0) ;
const int ofs22 = &image( 0, 0) - &image(0,0) ;
const int ofs23 = &image(+1, 0) - &image(0,0) ;
const int ofs31 = &image(-1,+1) - &image(0,0) ;
const int ofs32 = &image( 0,+1) - &image(0,0) ;
const int ofs33 = &image(+1,+1) - &image(0,0) ;
for(int i_y = 0; i_y < a.get_height(); i_y++) {
for(int i_x = 0; i_x < a.get_width(); i_x++) {
Pixel *pdata = &image(i_x,i_y);
Pixel sum;
sum += pdata[ofs11] * b11;
sum += pdata[ofs12] * b12;
sum += pdata[ofs13] * b11;
sum += pdata[ofs21] * b12;
sum += pdata[ofs22] * b22;
sum += pdata[ofs23] * b12;
sum += pdata[ofs31] * b11;
sum += pdata[ofs32] * b12;
sum += pdata[ofs33] * b11;
a(i_x,i_y) = sum;
}
}
}
int best_match_color(CoarseVariables &vars, int i_x, int i_y)
{
int max_v = 0;
double max_weight = vars(i_x, i_y, 0);
for (int v=1; v < opt_palette_size; v++) {
if (vars(i_x, i_y, v) > max_weight) {
max_v = v;
max_weight = vars(i_x, i_y, v);
}
}
return max_v;
}
void refine_palette(array2d< double >& __s,
Pixel *__r,
Pixel *palette)
{
if (opt_hksk) {
double threshlow = 0.5-opt_thresh ;
double threshhigh = 0.5+opt_thresh ;
if (gsavg-opt_thresh < threshlow) threshlow = gsavg-opt_thresh;
if (gsavg+opt_thresh > threshhigh) threshhigh = gsavg+opt_thresh;
opt_palette_size = 0;
for (int i=0; hksk[i][0] >= 0; i++) {
double r = hksk[i][0] / 255.0;
double g = hksk[i][1] / 255.0;
double b = hksk[i][2] / 255.0;
double gs = TO_GRAY(r,g,b);
if (gs <= threshlow || gs >= threshhigh) {
palette[opt_palette_size++] = Pixel(r,g,b);
}
}
return;
}
//palette_size = 3;
//__s(0,0) = 1;
//__s(0,1) = 1.5;
//__s(0,2) = 2;
//__s(1,0) = 2;
//__s(1,1) = 3;
//__s(1,2) = 4;
//__s(2,0) = 3;
//__s(2,1) = 6;
//__s(2,2) = 9;
//printf("%f %f %f\n", __s(0,0), __s(0,1), __s(0,2));
//printf("%f %f %f\n", __s(1,0), __s(1,1), __s(1,2));
//printf("%f %f %f\n", __s(2,0), __s(2,1), __s(2,2));
// We only computed the half of S above the diagonal - reflect it
for (int v=0; v<opt_palette_size; v++) {
for (int alpha=0; alpha<v; alpha++) {
__s(v,alpha) = __s(alpha,v);
}
}
//printf("%f %f %f\n", __s(0,0), __s(0,1), __s(0,2));
//printf("%f %f %f\n", __s(1,0), __s(1,1), __s(1,2));
//printf("%f %f %f\n", __s(2,0), __s(2,1), __s(2,2));
// rewrite: vector<double> palette_channel = -1.0*((2.0*S_k).matrix_inverse())*R_k;
double source[opt_palette_size*opt_palette_size];
double result[opt_palette_size*opt_palette_size];
if (1) {
// Set result to identity matrix
for(int i=0; i<opt_palette_size; i++) {
for(int j=0; j<opt_palette_size; j++) {
source[j*opt_palette_size+i] = __s(i,j);
result[j*opt_palette_size+i] = 0;
}
result[i*opt_palette_size+i] = 1;
}
// Reduce to echelon form, mirroring in result
for(int i=0; i<opt_palette_size; i++) {
double mult = source[i*opt_palette_size+i];
for(int k=0; k<opt_palette_size; k++) result[i*opt_palette_size+k] = result[i*opt_palette_size+k] / mult;
for(int k=0; k<opt_palette_size; k++) source[i*opt_palette_size+k] = source[i*opt_palette_size+k] / mult;
for(int j=i+1; j<opt_palette_size; j++) {
double mult = source[j*opt_palette_size+i];
for(int k=0; k<opt_palette_size; k++) result[j*opt_palette_size+k] -= result[i*opt_palette_size+k] * mult;
for(int k=0; k<opt_palette_size; k++) source[j*opt_palette_size+k] -= source[i*opt_palette_size+k] * mult;
}
}
// Back substitute, mirroring in result
for(int i=opt_palette_size-1; i>=0; i--) {
for(int j=i-1; j>=0; j--) {
double mult = source[j*opt_palette_size+i];
for(int k=0; k<opt_palette_size; k++) result[j*opt_palette_size+k] -= result[i*opt_palette_size+k] * mult;
for(int k=0; k<opt_palette_size; k++) source[j*opt_palette_size+k] -= source[i*opt_palette_size+k] * mult;
}
}
}
//printf("%f %f %f\n", result[0], result[1], result[2]);
//printf("%f %f %f\n", result[3], result[4], result[5]);
//printf("%f %f %f\n", result[6], result[7], result[8]);
// keep black.white
for(int row=0; row<opt_palette_size; row++) {
Pixel sum;
for(int col=0; col<opt_palette_size; col++)
sum += __r[col] * result[row*opt_palette_size+col];
Pixel val = sum;
val.r = round(val.r*255)/255.0;
val.g = round(val.g*255)/255.0;
val.b = round(val.b*255)/255.0;
double gs = TO_GRAY(val.r, val.g, val.b);
double threshlow = 0.5-opt_thresh ;
double threshhigh = 0.5+opt_thresh ;
if (gsavg-opt_thresh < threshlow) threshlow = gsavg-opt_thresh;
if (gsavg+opt_thresh > threshhigh) threshhigh = gsavg+opt_thresh;
if (1) {
if (gs > threshlow && gs < threshhigh) {
if (gs < 0.5) {
val.r = val.r * (threshlow)/gs;
val.g = val.g * (threshlow)/gs;
val.b = val.b * (threshlow)/gs;
} else {
val.r = 1-((1-val.r) * (1-threshhigh)/(1-gs));
val.g = 1-((1-val.g) * (1-threshhigh)/(1-gs));
val.b = 1-((1-val.b) * (1-threshhigh)/(1-gs));
}
}
gs = TO_GRAY(val.r, val.g, val.b);
if (gs > threshlow+0.00001 && gs < threshhigh-0.00001) {
fprintf(stderr, "#1 %f %f %f\n", threshlow, gs, threshhigh);
// exit(0);
}
}
//if (val.r < 0 || val.g < 0 || val.b < 0) fprintf(stderr,"### %f %f %f\n", val.r, val.g, val.b);
//if (val.r > 1 || val.g > 1 || val.b > 1) fprintf(stderr,"!!! %f %f %f\n", val.r, val.g, val.b);
if (val.r <= 0) val.r = 0; //!! NOT DETECTED
if (val.r > 1) val.r = 1; //!! DETECTED
if (val.g <= 0) val.g = 0; //!! NOT DETECTED
if (val.g > 1) val.g = 1; //!! DETECTED
if (val.b <= 0) val.b = 0; //!! NOT DETECTED
if (val.b > 1) val.b = 1; //!! DETECTED
palette[row] = val;
}
}
void spatial_color_quant(array2d< Pixel >& image,
array2d< int >& quantized_image,
Pixel *palette,
double initial_temperature,
double final_temperature,
int temps_per_level,
int repeats_per_temp,
int fixed_palette,
int rng_seed)
{
//double filter00 = 1.0/16.0;
//double filter01 = 2.0/16.0;
//double filter11 = 4.0/16.0;
//--
const int fil1_00 = 0;
const int fil1_01 = 0;
const int fil1_11 = 16;
//--
const int fil3_00 = 1;
const int fil3_01 = 2;
const int fil3_11 = 4;
//--
const int fil5_00 = 1; // filter00*filter00;
const int fil5_01 = 4; // 2*filter00*filter01;
const int fil5_02 = 6; // 2*filter00*filter00 + filter01*filter01;
const int fil5_11 = 16; // 2*filter00*filter11 + 2*filter01*filter01;
const int fil5_12 = 24; // 4*filter00*filter01 + 2*filter01*filter11;
const int fil5_22 = 36; // 4*filter00*filter00 + 4*filter01*filter01 + filter11*filter11;
//--
int coarse_level = 0;
int image_width = image.get_width();
int image_height = image.get_height();
array2d< Pixel > a0(image_width, image_height);
CoarseVariables *p_coarse_variables = new CoarseVariables(image_width >> coarse_level, image_height >> coarse_level, opt_palette_size);
array2d< double > __s(opt_palette_size, opt_palette_size);
Pixel palette0[opt_palette_size];
int palette_count[opt_palette_size];
int palette_shade[opt_palette_size];
double ming, maxg;
int minv=-1, maxv=-1;
for (int i=0; i<opt_palette_size; i++) {
double gs = TO_GRAY(palette[i].r, palette[i].g, palette[i].b);
if (minv<0 || gs < ming) { ming=gs; minv=i; }
if (maxv<0 || gs > maxg) { maxg=gs; maxv=i; }
palette_shade[i] = (gs < 0.5) ? 1 : 2;
}
//---
const int fofs1_00 = &(*p_coarse_variables)(-1,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_01 = &(*p_coarse_variables)( 0,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_02 = &(*p_coarse_variables)(+1,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_10 = &(*p_coarse_variables)(-1, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_11 = &(*p_coarse_variables)( 0, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_12 = &(*p_coarse_variables)(+1, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_20 = &(*p_coarse_variables)(-1,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_21 = &(*p_coarse_variables)( 0,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs1_22 = &(*p_coarse_variables)(+1,+1,0) - &(*p_coarse_variables)(0,0,0) ;
//---
const int fofs3_00 = &(*p_coarse_variables)(-1,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_01 = &(*p_coarse_variables)( 0,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_02 = &(*p_coarse_variables)(+1,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_10 = &(*p_coarse_variables)(-1, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_11 = &(*p_coarse_variables)( 0, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_12 = &(*p_coarse_variables)(+1, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_20 = &(*p_coarse_variables)(-1,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_21 = &(*p_coarse_variables)( 0,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs3_22 = &(*p_coarse_variables)(+1,+1,0) - &(*p_coarse_variables)(0,0,0) ;
//---
const int fofs5_00 = &(*p_coarse_variables)(-2,-2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_01 = &(*p_coarse_variables)(-1,-2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_02 = &(*p_coarse_variables)( 0,-2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_03 = &(*p_coarse_variables)(+1,-2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_04 = &(*p_coarse_variables)(+2,-2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_10 = &(*p_coarse_variables)(-2,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_11 = &(*p_coarse_variables)(-1,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_12 = &(*p_coarse_variables)( 0,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_13 = &(*p_coarse_variables)(+1,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_14 = &(*p_coarse_variables)(+2,-1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_20 = &(*p_coarse_variables)(-2, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_21 = &(*p_coarse_variables)(-1, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_22 = &(*p_coarse_variables)( 0, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_23 = &(*p_coarse_variables)(+1, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_24 = &(*p_coarse_variables)(+2, 0,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_30 = &(*p_coarse_variables)(-2,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_31 = &(*p_coarse_variables)(-1,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_32 = &(*p_coarse_variables)( 0,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_33 = &(*p_coarse_variables)(+1,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_34 = &(*p_coarse_variables)(+2,+1,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_40 = &(*p_coarse_variables)(-2,+2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_41 = &(*p_coarse_variables)(-1,+2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_42 = &(*p_coarse_variables)( 0,+2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_43 = &(*p_coarse_variables)(+1,+2,0) - &(*p_coarse_variables)(0,0,0) ;
const int fofs5_44 = &(*p_coarse_variables)(+2,+2,0) - &(*p_coarse_variables)(0,0,0) ;
//---
// Compute a_i, b_{ij} according to (11)
// linear random generator with values of a,c,m as used in glibc
int lcg = rng_seed;
if (opt_filter==1) {
compute_a_image_3(image, fil1_00/16.0, fil1_01/16.0, fil1_11/16.0, a0);
} else if (opt_filter==3) {
compute_a_image_3(image, fil3_00/16.0, fil3_01/16.0, fil3_11/16.0, a0);
} else if (opt_filter==5) {
compute_a_image(image, fil5_00/256.0,fil5_01/256.0,fil5_02/256.0,fil5_11/256.0,fil5_12/256.0,fil5_22/256.0, a0);
}
for(int j=0; j<image_height; j++) {
for(int i=0; i<image_width; i++) {
for(int k=0; k<p_coarse_variables->get_depth(); k++) {
lcg = lcg * 1103515245 + 12345;
(*p_coarse_variables)(i,j,k) = (lcg&0x7fffffff) / (double)0x7fffffff;
(*p_coarse_variables)(i,j,k) = 1.0 / opt_palette_size;
}
}
}
p_coarse_variables->clear_border();
for (int iters_at_current_level=0; iters_at_current_level<temps_per_level; iters_at_current_level++) {
int coarse_width = p_coarse_variables->get_width();
int coarse_height = p_coarse_variables->get_height();
int coarse_size2d = coarse_width*coarse_height;
int something_changed = 0;
logline("Level:%d coarseW:%4d coarseH:%4d iter:%d\n", coarse_level, coarse_width, coarse_height, iters_at_current_level);
for (int alpha=0; alpha<opt_palette_size; alpha++) palette0[alpha] = palette[alpha];
if (!fixed_palette && iters_at_current_level>0) {
Pixel __r[opt_palette_size];
// compute initial s
for (int alpha=0; alpha<opt_palette_size; alpha++) for (int v=0; v<=alpha; v++) __s(v,alpha) = 0;
for (int i_y=0; i_y<coarse_height; i_y++) {
for (int i_x=0; i_x<coarse_width; i_x++) {
for (int a=0; a<opt_palette_size; a++) {
double *pdata = &(*p_coarse_variables)(i_x,i_y,a);
double sum = 0;
if (opt_filter==1) {
sum += (pdata[fofs1_00] + pdata[fofs1_02] + pdata[fofs1_20] + pdata[fofs1_22]) * fil1_00;
sum += (pdata[fofs1_01] + pdata[fofs1_10] + pdata[fofs1_12] + pdata[fofs1_21]) * fil1_01;
sum /= 16.0;
for (int v=0; v<=a; v++)
__s(v,a) += (*p_coarse_variables)(i_x,i_y,v) * sum;
__s(a,a) += pdata[fofs1_11] * fil1_11/16.0;
__r[a] += a0(i_x,i_y) * pdata[fofs1_11];
} else if (opt_filter==3) {
sum += (pdata[fofs3_00] + pdata[fofs3_02] + pdata[fofs3_20] + pdata[fofs3_22]) * fil3_00;
sum += (pdata[fofs3_01] + pdata[fofs3_10] + pdata[fofs3_12] + pdata[fofs3_21]) * fil3_01;
sum /= 16.0;
for (int v=0; v<=a; v++)
__s(v,a) += (*p_coarse_variables)(i_x,i_y,v) * sum;
__s(a,a) += pdata[fofs3_11] * fil3_11/16.0;
__r[a] += a0(i_x,i_y) * pdata[fofs3_11];
} else {
sum += (pdata[fofs5_00] + pdata[fofs5_04] + pdata[fofs5_40] + pdata[fofs5_44]) * fil5_00;
sum += (pdata[fofs5_01] + pdata[fofs5_10] + pdata[fofs5_03] + pdata[fofs5_30]+
pdata[fofs5_14] + pdata[fofs5_41] + pdata[fofs5_34] + pdata[fofs5_43]) * fil5_01;
sum += (pdata[fofs5_02] + pdata[fofs5_20] + pdata[fofs5_24] + pdata[fofs5_42]) * fil5_02;
sum += (pdata[fofs5_11] + pdata[fofs5_13] + pdata[fofs5_31] + pdata[fofs5_33]) * fil5_11;
sum += (pdata[fofs5_12] + pdata[fofs5_21] + pdata[fofs5_32] + pdata[fofs5_23]) * fil5_12;
sum /= 256.0;
for (int v=0; v<=a; v++)
__s(v,a) += (*p_coarse_variables)(i_x,i_y,v) * sum;
__s(a,a) += pdata[fofs5_22] * fil5_22/256.0;
__r[a] += a0(i_x,i_y) * pdata[fofs5_22];
}
}}}
// calculate average image grayscale
gsavg = 0;
for(int i_x = 0; i_x < image_width; i_x++) {
for(int i_y = 0; i_y < image_height; i_y++) {
int c = best_match_color(*p_coarse_variables, i_x, i_y);
gsavg += TO_GRAY(palette[c].r, palette[c].g, palette[c].b);
}
}
gsavg /= image_width*image_height;
logline("gsavg: %f\n", gsavg);
// refine palette using s
refine_palette(__s, __r, palette);
minv=-1;
maxv=-1;
for (int i=0; i<opt_palette_size; i++) {
double gs = TO_GRAY(palette[i].r, palette[i].g, palette[i].b);
if (minv<0 || gs < ming) { ming=gs; minv=i; }
if (maxv<0 || gs > maxg) { maxg=gs; maxv=i; }
palette_shade[i] = (gs < 0.5) ? 1 : 2;
}
logline("updated palette\n");
}
int pixels_changed = 0, pixels_visited = 0;
char *dirty_flag = new char[coarse_size2d];
int *dirty_xy = new int[coarse_size2d];
int dirty_in = 0, dirty_out = 0, dirty_cnt = 0, dirty_step = 0;
// visit all pixels
for (dirty_in=0; dirty_in<coarse_size2d; dirty_in++) {
dirty_flag[dirty_in] = 1;
dirty_xy[dirty_in] = dirty_in;
}
dirty_cnt = coarse_size2d;
dirty_in %= coarse_size2d;
dirty_step = dirty_cnt;
// randomize
for (int i=1; i<coarse_size2d; i++) {
lcg = lcg * 1103515245 + 12345;
int j = (lcg&0x7fffffff) % (i + 1);
int swap = dirty_xy[i];
dirty_xy[i] = dirty_xy[j];
dirty_xy[j] = swap;
}
// Compute 2*sum(j in extended neighborhood of i, j != i) b_ij
int maxloop = 100;
while(dirty_cnt)
{
const int i_x = dirty_xy[dirty_out]%coarse_width;
const int i_y = dirty_xy[dirty_out]/coarse_width;
dirty_out = (dirty_out+1)%coarse_size2d;
dirty_cnt--;
// Compute (25)
Pixel p_i;
for (int v=0; v < opt_palette_size; v++) {
double *pdata = &(*p_coarse_variables)(i_x,i_y,v);
double sum = 0;
if (opt_filter==1) {
sum += (pdata[fofs1_00] + pdata[fofs1_02] + pdata[fofs1_20] + pdata[fofs1_22]) * fil1_00;
sum += (pdata[fofs1_01] + pdata[fofs1_10] + pdata[fofs1_12] + pdata[fofs1_21]) * fil1_01;
sum /= 16.0;
} else if (opt_filter==3) {
sum += (pdata[fofs3_00] + pdata[fofs3_02] + pdata[fofs3_20] + pdata[fofs3_22]) * fil3_00;
sum += (pdata[fofs3_01] + pdata[fofs3_10] + pdata[fofs3_12] + pdata[fofs3_21]) * fil3_01;
sum /= 16.0;
} else {
sum += (pdata[fofs5_00] + pdata[fofs5_04] + pdata[fofs5_40] + pdata[fofs5_44]) * fil5_00;
sum += (pdata[fofs5_01] + pdata[fofs5_10] + pdata[fofs5_03] + pdata[fofs5_30]+
pdata[fofs5_14] + pdata[fofs5_41] + pdata[fofs5_34] + pdata[fofs5_43]) * fil5_01;
sum += (pdata[fofs5_02] + pdata[fofs5_20] + pdata[fofs5_24] + pdata[fofs5_42]) * fil5_02;
sum += (pdata[fofs5_11] + pdata[fofs5_13] + pdata[fofs5_31] + pdata[fofs5_33]) * fil5_11;
sum += (pdata[fofs5_12] + pdata[fofs5_21] + pdata[fofs5_32] + pdata[fofs5_23]) * fil5_12;
sum /= 256.0;
}
p_i += palette[v] * sum;
}
double meanfield_logs[opt_palette_size];
double max_meanfield_log = 0;
double meanfield_sum = 0.0;
double meanfields[opt_palette_size];
for (int v=0; v < opt_palette_size; v++) {
if (opt_filter==1) {
meanfield_logs[v]= ( (palette[v].r*fil1_11/2/16.0 + p_i.r - a0(i_x, i_y).r)*palette[v].r +
(palette[v].g*fil1_11/2/16.0 + p_i.g - a0(i_x, i_y).g)*palette[v].g +
(palette[v].b*fil1_11/2/16.0 + p_i.b - a0(i_x, i_y).b)*palette[v].b ) * (-2 / 0.00001);
} else if (opt_filter==3) {
meanfield_logs[v]= ( (palette[v].r*fil3_11/2/16.0 + p_i.r - a0(i_x, i_y).r)*palette[v].r +
(palette[v].g*fil3_11/2/16.0 + p_i.g - a0(i_x, i_y).g)*palette[v].g +
(palette[v].b*fil3_11/2/16.0 + p_i.b - a0(i_x, i_y).b)*palette[v].b ) * (-2 / 0.00001);
} else {
meanfield_logs[v]= ( (palette[v].r*fil5_22/2/256.0 + p_i.r - a0(i_x, i_y).r)*palette[v].r +
(palette[v].g*fil5_22/2/256.0 + p_i.g - a0(i_x, i_y).g)*palette[v].g +
(palette[v].b*fil5_22/2/256.0 + p_i.b - a0(i_x, i_y).b)*palette[v].b ) * (-2 / 0.00001);
}
if (v==0 || meanfield_logs[v] > max_meanfield_log)
max_meanfield_log = meanfield_logs[v];
}
for (int v=0; v < opt_palette_size; v++) {
meanfields[v] = exp(meanfield_logs[v]-max_meanfield_log+100);
if (1) {
if ( imgQR[(i_y>>1)*93+(i_x>>1)] == 0) {
// dark
if (palette_shade[v]&2)
meanfields[v] = 0;
} else {
// light
if (palette_shade[v]&1)
meanfields[v] = 0;
}
meanfield_sum += meanfields[v];
}
}
//--------------
if (meanfield_sum == 0) {
for (int v=0; v < opt_palette_size; v++) {
if (opt_filter==1) {
meanfield_logs[v]= ( (palette[v].r*fil1_11/2/16.0 + p_i.r - a0(i_x, i_y).r)*palette[v].r +
(palette[v].g*fil1_11/2/16.0 + p_i.g - a0(i_x, i_y).g)*palette[v].g +
(palette[v].b*fil1_11/2/16.0 + p_i.b - a0(i_x, i_y).b)*palette[v].b ) * (-2 / 0.01);
} else if (opt_filter==3) {
meanfield_logs[v]= ( (palette[v].r*fil3_11/2/16.0 + p_i.r - a0(i_x, i_y).r)*palette[v].r +
(palette[v].g*fil3_11/2/16.0 + p_i.g - a0(i_x, i_y).g)*palette[v].g +
(palette[v].b*fil3_11/2/16.0 + p_i.b - a0(i_x, i_y).b)*palette[v].b ) * (-2 / 0.01);
} else {
meanfield_logs[v]= ( (palette[v].r*fil5_22/2/256.0 + p_i.r - a0(i_x, i_y).r)*palette[v].r +
(palette[v].g*fil5_22/2/256.0 + p_i.g - a0(i_x, i_y).g)*palette[v].g +
(palette[v].b*fil5_22/2/256.0 + p_i.b - a0(i_x, i_y).b)*palette[v].b ) * (-2 / 0.01);
}
if (v==0 || meanfield_logs[v] > max_meanfield_log)
max_meanfield_log = meanfield_logs[v];
}
for (int v=0; v < opt_palette_size; v++) {
meanfields[v] = exp(meanfield_logs[v]-max_meanfield_log+100);
if (1) {
if ( imgQR[(i_y>>1)*93+(i_x>>1)] == 0) {
// dark
if (palette_shade[v]&2)
meanfields[v] = 0;
} else {
// light
if (palette_shade[v]&1)
meanfields[v] = 0;
}
}
meanfield_sum += meanfields[v];
}
}
if (meanfield_sum == 0) {
printf("meanfield_sum==0\n");
exit(0);
}
//-----------------
int old_max_v = -1;
double old_max_weight = -1;
int new_max_v = -1;
double new_max_weight = -1;
for (int v=0; v < opt_palette_size; v++) {
double new_val = meanfields[v]/meanfield_sum;
double old_val = (*p_coarse_variables)(i_x,i_y,v);
if (new_val < 0.00001) new_val = 0.00001;
if (new_val > 0.99999) new_val = 0.99999;