Luminance HDR git.LuminanceHDR

/**
 * @brief 
 * 
 * This file is a part of Qtpfsgui package.
 * ---------------------------------------------------------------------- 
 * Copyright (C) 2003,2004 Rafal Mantiuk and Grzegorz Krawczyk
 * 
 *  This program is free software; you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation; either version 2 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 General Public License for more details.
 *
 *  You should have received a copy of the GNU General Public License
 *  along with this program; if not, write to the Free Software
 *  Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 * ---------------------------------------------------------------------- 
 *
 * @author Rafal Mantiuk, <mantiuk@mpi-sb.mpg.de>
 *
 * $Id: histogram.cpp,v 1.2 2005/09/02 13:10:35 rafm Exp $
 */

#include <math.h>
#include <iostream>

#include "histogram.h"

Histogram::Histogram( int bins, int accuracy ):
  bins( bins ), accuracy( accuracy )
{
  P = new float[bins];
}

Histogram::~Histogram()
{
  delete[] P;
}


void Histogram::computeLog( const pfs::Array2D *image )
{
  const int size = image->getRows()*image->getCols();

  float max, min;               // Find min, max
  {
    min = 999999999;
    max = -999999999;
    
    for( int i = 0; i < size; i += accuracy ) {
      float v = (*image)(i);
      if( v > max ) max = v;
      else if( v < min ) min = v;
    }
  }
  computeLog( image, min, max );
}


void Histogram::computeLog( const pfs::Array2D *image, float min, float max )
{
  const int size = image->getRows()*image->getCols();
  
  // Empty all bins
  for( int i = 0; i < bins; i++ )
    P[i] = 0;

  float count = 0;
  float binWidth = (max-min)/(float)bins;
  for( int i = 0; i < size; i += accuracy ) {
    float v = (*image)(i);
    if( v <= 0 ) continue;
    v = log10(v);
    int bin = (int)((v-min)/binWidth);
    if( bin > bins || bin < 0 ) continue;
    if( bin == bins ) bin = bins-1;
    P[bin] += 1;
    count++;
  }

  // Normalize, to get probability
  for( int i = 0; i < bins; i++ )
    P[i] /= (float)(count/accuracy);
  
}

float Histogram::getMaxP() const
{
  float maxP = -1;
  for( int i = 0; i < bins; i++ ) {
    if( P[i] > maxP ) {
      maxP = P[i];
    }    
  }
  return maxP;
}