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#include <vector>
#include <iostream>
#include <fstream>
#include <cmath>
#include <HdrCreation/weights.h>
using namespace std;
using namespace libhdr::fusion;
static const size_t SAMPLES = WeightFunction::NUM_BINS;
// OLD STUFF
#define MIN_WEIGHT 1e-3
void exposure_weights_icip06( float* w, int M, int Mmin, int Mmax )
{
for( int m=0 ; m<M ; m++ )
if( m<Mmin || m>Mmax )
w[m] = 0.0f;
else
w[m]=1.0f-pow( ( (2.0f*float(m-Mmin)/float(Mmax-Mmin)) - 1.0f), 12.0f);
}
void weightsGauss( float* w, int M, int Mmin, int Mmax, float sigma = 8.0f)
{
float mid = Mmin + (Mmax-Mmin)/2.0f - 0.5f;
float mid2 = (mid-Mmin) * (mid-Mmin);
for( int m=0 ; m<M ; m++ ) {
if ( m<Mmin || m>Mmax ) {
w[m] = 0.0f;
} else {
// gkrawczyk: that's not really a gaussian, but equation is
// taken from Robertson02 paper.
float weight = exp( -sigma * (m-mid) * (m-mid) / mid2 );
if( weight < MIN_WEIGHT ) // ignore very low weights
w[m] = 0.0f;
else
w[m] = weight;
}
}
}
void weights_triangle( float* w, int M /*, int Mmin, int Mmax*/ )
{
for(int i=0;i<int(float(M)/2.0f);i++) {
w[i]=i/ (float(M)/2.0f);
if (w[i]<0.06f)w[i]=0;
}
for(int i=int(float(M)/2.0f);i<M;i++) {
w[i]=(M-1-i)/(float(M)/2.0f);
if (w[i]<0.06f)w[i]=0;
}
// for( int m=0 ; m<M ; m++ )
// if( m<Mmin || m>Mmax )
// w[m] = 0.0f;
// else
// {
// if ( m<int(Mmin+ (Mmax-Mmin)/2.0f +1) )
// w[m]=(m-Mmin)/float(Mmin+(Mmax-Mmin)/2.0f);
// else
// w[m]=( -m+Mmin+((Mmax-Mmin)) )/float(Mmin+(Mmax-Mmin)/2.0f);
// }
// if (w[i]<0.06f)w[i]=0;
}
void printTriangular()
{
WeightFunction weights(WEIGHT_TRIANGULAR);
vector<float> data(SAMPLES);
ofstream outputFile("data_triangular.dat");
weights_triangle(data.data(), SAMPLES);
for (size_t idx = 0; idx < SAMPLES; ++idx)
{
float w = weights.getWeight(((float)idx)/SAMPLES);
outputFile << idx << " " << data[idx] << " "
<< w << " " << abs(data[idx] - w)
<< "\n";
}
outputFile.close();
}
void printGaussian()
{
WeightFunction weights(WEIGHT_GAUSSIAN);
vector<float> data(SAMPLES);
ofstream outputFile("data_gauss.dat");
weightsGauss(data.data(), SAMPLES, 0, SAMPLES);
for (size_t idx = 0; idx < SAMPLES; ++idx)
{
float w = weights.getWeight(((float)idx)/SAMPLES);
outputFile << idx << " " << data[idx] << " "
<< w << " " << abs(data[idx] - w)
<< "\n";
}
outputFile.close();
}
void printPlateau()
{
WeightFunction weights(WEIGHT_PLATEAU);
vector<float> data(SAMPLES);
ofstream outputFile("data_plateau.dat");
exposure_weights_icip06(data.data(), SAMPLES, 0, SAMPLES);
for (size_t idx = 0; idx < SAMPLES; ++idx)
{
float w = weights.getWeight(((float)idx)/SAMPLES);
outputFile << idx << " " << data[idx] << " "
<< w << " " << abs(data[idx] - w)
<< "\n";
}
outputFile.close();
}
int main() // int argc, char** argv)
{
printTriangular();
printGaussian();
printPlateau();
return 0;
}
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