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/* ============================================================
*
* This file is a part of digiKam project
* http://www.digikam.org
*
* Date : 2005-05-25
* Description : Oil Painting threaded image filter.
*
* Copyright (C) 2005-2007 by Gilles Caulier <caulier dot gilles at gmail dot com>
* Copyright (C) 2006-2007 by Marcel Wiesweg <marcel dot wiesweg at gmx dot de>
*
* Original OilPaint algorithm copyrighted 2004 by
* Pieter Z. Voloshyn <pieter dot voloshyn 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>
#include <cstdlib>
// Local includes.
#include "ddebug.h"
#include "dimg.h"
#include "dimggaussianblur.h"
#include "dimgimagefilters.h"
#include "oilpaint.h"
namespace DigikamOilPaintImagesPlugin
{
OilPaint::OilPaint(Digikam::DImg *orgImage, QObject *parent, int brushSize, int smoothness)
: Digikam::DImgThreadedFilter(orgImage, parent, "OilPaint")
{
m_brushSize = brushSize;
m_smoothness = smoothness;
initFilter();
}
void OilPaint::filterImage(void)
{
oilpaintImage(m_orgImage, m_destImage, m_brushSize, m_smoothness);
}
// This method have been ported from Pieter Z. Voloshyn algorithm code.
/* Function to apply the OilPaint effect.
*
* data => The image data in RGBA mode.
* w => Width of image.
* h => Height of image.
* BrushSize => Brush size.
* Smoothness => Smooth value.
*
* Theory => Using MostFrequentColor function we take the main color in
* a matrix and simply write at the original position.
*/
void OilPaint::oilpaintImage(Digikam::DImg &orgImage, Digikam::DImg &destImage, int BrushSize, int Smoothness)
{
int progress;
Digikam::DColor mostFrequentColor;
int w,h;
mostFrequentColor.setSixteenBit(orgImage.sixteenBit());
w = (int)orgImage.width();
h = (int)orgImage.height();
uchar *dest = destImage.bits();
int bytesDepth = orgImage.bytesDepth();
uchar *dptr;
// Allocate some arrays to be used.
// Do this here once for all to save a few million new / delete operations
m_intensityCount = new uchar[Smoothness + 1];
m_averageColorR = new uint[Smoothness + 1];
m_averageColorG = new uint[Smoothness + 1];
m_averageColorB = new uint[Smoothness + 1];
for (int h2 = 0; !m_cancel && (h2 < h); h2++)
{
for (int w2 = 0; !m_cancel && (w2 < w); w2++)
{
mostFrequentColor = MostFrequentColor(orgImage, w2, h2, BrushSize, Smoothness);
dptr = dest + w2*bytesDepth + (w*h2*bytesDepth);
mostFrequentColor.setPixel(dptr);
}
progress = (int) (((double)h2 * 100.0) / h);
if ( progress%5 == 0 )
postProgress( progress );
}
// free all the arrays
delete [] m_intensityCount;
delete [] m_averageColorR;
delete [] m_averageColorG;
delete [] m_averageColorB;
}
// This method have been ported from Pieter Z. Voloshyn algorithm code.
/* Function to determine the most frequent color in a matrix
*
* Bits => Bits array
* Width => Image width
* Height => Image height
* X => Position horizontal
* Y => Position vertical
* Radius => Is the radius of the matrix to be analized
* Intensity => Intensity to calcule
*
* Theory => This function creates a matrix with the analized pixel in
* the center of this matrix and find the most frequenty color
*/
Digikam::DColor OilPaint::MostFrequentColor(Digikam::DImg &src, int X, int Y, int Radius, int Intensity)
{
int i, w, h, I, Width, Height;
uint red, green, blue;
uchar *dest = src.bits();
int bytesDepth = src.bytesDepth();
uchar *sptr;
bool sixteenBit = src.sixteenBit();
Digikam::DColor mostFrequentColor;
double Scale = Intensity / (sixteenBit ? 65535.0 : 255.0);
Width = (int)src.width();
Height = (int)src.height();
// Erase the array
memset(m_intensityCount, 0, (Intensity + 1) * sizeof (uchar));
for (w = X - Radius; w <= X + Radius; w++)
{
for (h = Y - Radius; h <= Y + Radius; h++)
{
// This condition helps to identify when a point doesn't exist
if ((w >= 0) && (w < Width) && (h >= 0) && (h < Height))
{
sptr = dest + w*bytesDepth + (Width*h*bytesDepth);
Digikam::DColor color(sptr, sixteenBit);
red = (uint)color.red();
green = (uint)color.green();
blue = (uint)color.blue();
I = lround(GetIntensity (red, green, blue) * Scale);
m_intensityCount[I]++;
if (m_intensityCount[I] == 1)
{
m_averageColorR[I] = red;
m_averageColorG[I] = green;
m_averageColorB[I] = blue;
}
else
{
m_averageColorR[I] += red;
m_averageColorG[I] += green;
m_averageColorB[I] += blue;
}
}
}
}
I = 0;
int MaxInstance = 0;
for (i = 0 ; i <= Intensity ; i++)
{
if (m_intensityCount[i] > MaxInstance)
{
I = i;
MaxInstance = m_intensityCount[i];
}
}
// get Alpha channel value from original (unchanged)
mostFrequentColor = src.getPixelColor(X, Y);
// Overwrite RGB values to destination.
mostFrequentColor.setRed(m_averageColorR[I] / MaxInstance);
mostFrequentColor.setGreen(m_averageColorG[I] / MaxInstance);
mostFrequentColor.setBlue(m_averageColorB[I] / MaxInstance);
return mostFrequentColor;
}
} // NameSpace DigikamOilPaintImagesPlugin
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