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204 lines
7.1 KiB
204 lines
7.1 KiB
/* ============================================================
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*
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* This file is a part of digiKam project
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* http://www.digikam.org
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*
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* Date : 2005-05-25
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* Description : Oil Painting threaded image filter.
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*
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* Copyright (C) 2005-2007 by Gilles Caulier <caulier dot gilles at gmail dot com>
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* Copyright (C) 2006-2007 by Marcel Wiesweg <marcel dot wiesweg at gmx dot de>
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*
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* Original OilPaint algorithm copyrighted 2004 by
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* Pieter Z. Voloshyn <pieter dot voloshyn at gmail dot com>.
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*
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* This program is free software; you can redistribute it
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* and/or modify it under the terms of the GNU General
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* Public License as published by the Free Software Foundation;
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* either version 2, or (at your option)
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* any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* ============================================================ */
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// C++ includes.
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#include <cmath>
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#include <cstdlib>
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// Local includes.
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#include "ddebug.h"
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#include "dimg.h"
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#include "dimggaussianblur.h"
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#include "dimgimagefilters.h"
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#include "oilpaint.h"
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namespace DigikamOilPaintImagesPlugin
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{
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OilPaint::OilPaint(Digikam::DImg *orgImage, TQObject *parent, int brushSize, int smoothness)
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: Digikam::DImgThreadedFilter(orgImage, parent, "OilPaint")
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{
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m_brushSize = brushSize;
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m_smoothness = smoothness;
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initFilter();
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}
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void OilPaint::filterImage(void)
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{
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oilpaintImage(m_orgImage, m_destImage, m_brushSize, m_smoothness);
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}
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// This method have been ported from Pieter Z. Voloshyn algorithm code.
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/* Function to apply the OilPaint effect.
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*
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* data => The image data in RGBA mode.
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* w => Width of image.
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* h => Height of image.
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* BrushSize => Brush size.
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* Smoothness => Smooth value.
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*
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* Theory => Using MostFrequentColor function we take the main color in
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* a matrix and simply write at the original position.
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*/
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void OilPaint::oilpaintImage(Digikam::DImg &orgImage, Digikam::DImg &destImage, int BrushSize, int Smoothness)
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{
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int progress;
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Digikam::DColor mostFrequentColor;
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int w,h;
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mostFrequentColor.setSixteenBit(orgImage.sixteenBit());
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w = (int)orgImage.width();
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h = (int)orgImage.height();
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uchar *dest = destImage.bits();
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int bytesDepth = orgImage.bytesDepth();
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uchar *dptr;
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// Allocate some arrays to be used.
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// Do this here once for all to save a few million new / delete operations
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m_intensityCount = new uchar[Smoothness + 1];
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m_averageColorR = new uint[Smoothness + 1];
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m_averageColorG = new uint[Smoothness + 1];
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m_averageColorB = new uint[Smoothness + 1];
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for (int h2 = 0; !m_cancel && (h2 < h); h2++)
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{
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for (int w2 = 0; !m_cancel && (w2 < w); w2++)
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{
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mostFrequentColor = MostFrequentColor(orgImage, w2, h2, BrushSize, Smoothness);
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dptr = dest + w2*bytesDepth + (w*h2*bytesDepth);
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mostFrequentColor.setPixel(dptr);
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}
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progress = (int) (((double)h2 * 100.0) / h);
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if ( progress%5 == 0 )
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postProgress( progress );
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}
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// free all the arrays
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delete [] m_intensityCount;
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delete [] m_averageColorR;
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delete [] m_averageColorG;
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delete [] m_averageColorB;
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}
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// This method have been ported from Pieter Z. Voloshyn algorithm code.
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/* Function to determine the most frequent color in a matrix
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*
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* Bits => Bits array
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* Width => Image width
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* Height => Image height
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* X => Position horizontal
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* Y => Position vertical
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* Radius => Is the radius of the matrix to be analized
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* Intensity => Intensity to calcule
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*
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* Theory => This function creates a matrix with the analized pixel in
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* the center of this matrix and find the most frequenty color
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*/
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Digikam::DColor OilPaint::MostFrequentColor(Digikam::DImg &src, int X, int Y, int Radius, int Intensity)
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{
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int i, w, h, I, Width, Height;
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uint red, green, blue;
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uchar *dest = src.bits();
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int bytesDepth = src.bytesDepth();
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uchar *sptr;
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bool sixteenBit = src.sixteenBit();
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Digikam::DColor mostFrequentColor;
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double Scale = Intensity / (sixteenBit ? 65535.0 : 255.0);
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Width = (int)src.width();
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Height = (int)src.height();
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// Erase the array
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memset(m_intensityCount, 0, (Intensity + 1) * sizeof (uchar));
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for (w = X - Radius; w <= X + Radius; w++)
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{
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for (h = Y - Radius; h <= Y + Radius; h++)
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{
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// This condition helps to identify when a point doesn't exist
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if ((w >= 0) && (w < Width) && (h >= 0) && (h < Height))
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{
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sptr = dest + w*bytesDepth + (Width*h*bytesDepth);
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Digikam::DColor color(sptr, sixteenBit);
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red = (uint)color.red();
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green = (uint)color.green();
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blue = (uint)color.blue();
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I = lround(GetIntensity (red, green, blue) * Scale);
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m_intensityCount[I]++;
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if (m_intensityCount[I] == 1)
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{
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m_averageColorR[I] = red;
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m_averageColorG[I] = green;
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m_averageColorB[I] = blue;
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}
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else
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{
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m_averageColorR[I] += red;
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m_averageColorG[I] += green;
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m_averageColorB[I] += blue;
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}
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}
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}
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}
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I = 0;
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int MaxInstance = 0;
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for (i = 0 ; i <= Intensity ; i++)
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{
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if (m_intensityCount[i] > MaxInstance)
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{
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I = i;
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MaxInstance = m_intensityCount[i];
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}
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}
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// get Alpha channel value from original (unchanged)
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mostFrequentColor = src.getPixelColor(X, Y);
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// Overwrite RGB values to destination.
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mostFrequentColor.setRed(m_averageColorR[I] / MaxInstance);
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mostFrequentColor.setGreen(m_averageColorG[I] / MaxInstance);
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mostFrequentColor.setBlue(m_averageColorB[I] / MaxInstance);
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return mostFrequentColor;
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}
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} // NameSpace DigikamOilPaintImagesPlugin
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