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/* ============================================================
*
* This file is a part of digiKam project
* http://www.digikam.org
*
* Date : 2005-05-25
* Description : Refocus threaded image filter.
*
* Copyright (C) 2005-2007 by Gilles Caulier <caulier dot gilles at gmail dot com>
*
* 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, 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.
*
* ============================================================ */
// C++ includes.
#include <cmath>
// Local includes.
#include "ddebug.h"
#include "dimg.h"
#include "dcolor.h"
#include "dimgimagefilters.h"
#include "matrix.h"
#include "refocus.h"
namespace DigikamImagesPluginCore
{
Refocus::Refocus(Digikam::DImg *orgImage, TQObject *parent, int matrixSize, double radius,
double gauss, double correlation, double noise)
: Digikam::DImgThreadedFilter(orgImage, parent, "Refocus")
{
m_matrixSize = matrixSize;
m_radius = radius;
m_gauss = gauss;
m_correlation = correlation;
m_noise = noise;
initFilter();
}
void Refocus::filterImage(void)
{
refocusImage(m_orgImage.bits(), m_orgImage.width(), m_orgImage.height(),
m_orgImage.sixteenBit(), m_matrixSize, m_radius, m_gauss,
m_correlation, m_noise);
}
void Refocus::refocusImage(uchar* data, int width, int height, bool sixteenBit,
int matrixSize, double radius, double gauss,
double correlation, double noise)
{
CMat *matrix=0;
// Compute matrix
DDebug() << "Refocus::Compute matrix..." << endl;
CMat circle, gaussian, convolution;
RefocusMatrix::make_gaussian_convolution (gauss, &gaussian, matrixSize);
RefocusMatrix::make_circle_convolution (radius, &circle, matrixSize);
RefocusMatrix::init_c_mat (&convolution, matrixSize);
RefocusMatrix::convolve_star_mat (&convolution, &gaussian, &circle);
matrix = RefocusMatrix::compute_g_matrix (&convolution, matrixSize, correlation, noise, 0.0, true);
RefocusMatrix::finish_c_mat (&convolution);
RefocusMatrix::finish_c_mat (&gaussian);
RefocusMatrix::finish_c_mat (&circle);
// Apply deconvolution kernel to image.
DDebug() << "Refocus::Apply Matrix to image..." << endl;
convolveImage(data, m_destImage.bits(), width, height, sixteenBit,
matrix->data, 2 * matrixSize + 1);
// Clean up memory
delete matrix;
}
void Refocus::convolveImage(uchar *orgData, uchar *destData, int width, int height,
bool sixteenBit, const double *const matrix, int mat_size)
{
int progress;
unsigned short *orgData16 = (unsigned short *)orgData;
unsigned short *destData16 = (unsigned short *)destData;
double valRed, valGreen, valBlue;
int x1, y1, x2, y2, index1, index2;
const int imageSize = width*height;
const int mat_offset = mat_size / 2;
for (y1 = 0; !m_cancel && (y1 < height); y1++)
{
for (x1 = 0; !m_cancel && (x1 < width); x1++)
{
valRed = valGreen = valBlue = 0.0;
if (!sixteenBit) // 8 bits image.
{
uchar red, green, blue;
uchar *ptr;
for (y2 = 0; !m_cancel && (y2 < mat_size); y2++)
{
for (x2 = 0; !m_cancel && (x2 < mat_size); x2++)
{
index1 = width * (y1 + y2 - mat_offset) +
x1 + x2 - mat_offset;
if ( index1 >= 0 && index1 < imageSize )
{
ptr = &orgData[index1*4];
blue = ptr[0];
green = ptr[1];
red = ptr[2];
const double matrixValue = matrix[y2 * mat_size + x2];
valRed += matrixValue * red;
valGreen += matrixValue * green;
valBlue += matrixValue * blue;
}
}
}
index2 = y1 * width + x1;
if (index2 >= 0 && index2 < imageSize)
{
// To get Alpha channel value from original (unchanged)
memcpy (&destData[index2*4], &orgData[index2*4], 4);
ptr = &destData[index2*4];
// Overwrite RGB values to destination.
ptr[0] = (uchar) CLAMP (valBlue, 0, 255);
ptr[1] = (uchar) CLAMP (valGreen, 0, 255);
ptr[2] = (uchar) CLAMP (valRed, 0, 255);
}
}
else // 16 bits image.
{
unsigned short red, green, blue;
unsigned short *ptr;
for (y2 = 0; !m_cancel && (y2 < mat_size); y2++)
{
for (x2 = 0; !m_cancel && (x2 < mat_size); x2++)
{
index1 = width * (y1 + y2 - mat_offset) +
x1 + x2 - mat_offset;
if ( index1 >= 0 && index1 < imageSize )
{
ptr = &orgData16[index1*4];
blue = ptr[0];
green = ptr[1];
red = ptr[2];
const double matrixValue = matrix[y2 * mat_size + x2];
valRed += matrixValue * red;
valGreen += matrixValue * green;
valBlue += matrixValue * blue;
}
}
}
index2 = y1 * width + x1;
if (index2 >= 0 && index2 < imageSize)
{
// To get Alpha channel value from original (unchanged)
memcpy (&destData16[index2*4], &orgData16[index2*4], 8);
ptr = &destData16[index2*4];
// Overwrite RGB values to destination.
ptr[0] = (unsigned short) CLAMP (valBlue, 0, 65535);
ptr[1] = (unsigned short) CLAMP (valGreen, 0, 65535);
ptr[2] = (unsigned short) CLAMP (valRed, 0, 65535);
}
}
}
// Update the progress bar in dialog.
progress = (int)(((double)y1 * 100.0) / height);
if (progress%5 == 0)
postProgress( progress );
}
}
} // NameSpace DigikamImagesPluginCore
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