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178 lines
No EOL
7.4 KiB
C#
178 lines
No EOL
7.4 KiB
C#
#region License Information (GPL v3)
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/*
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ShareX - A program that allows you to take screenshots and share any file type
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Copyright (C) 2008-2014 ShareX Developers
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This program is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public License
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as published by the Free Software Foundation; either version 2
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of the License, or (at your option) any later version.
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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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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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Optionally you can also view the license at <http://www.gnu.org/licenses/>.
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*/
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#endregion License Information (GPL v3)
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// Filters: http://www.codeproject.com/Articles/2008/Image-Processing-for-Dummies-with-C-and-GDI-Part-2
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using System;
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using System.Drawing;
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using System.Drawing.Imaging;
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namespace HelpersLib
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{
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public static class ConvolutionMatrixManager
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{
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public static Image Apply(this ConvolutionMatrix matrix, Image img)
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{
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int factor = Math.Max(matrix.Factor, 1);
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Bitmap result = (Bitmap)img.Clone();
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using (UnsafeBitmap source = new UnsafeBitmap((Bitmap)img, true, ImageLockMode.ReadOnly))
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using (UnsafeBitmap dest = new UnsafeBitmap(result, true, ImageLockMode.WriteOnly))
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{
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int height = source.Height - 2;
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int width = source.Width - 2;
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ColorBgra[,] pixelColor = new ColorBgra[3, 3];
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int pixel;
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ColorBgra color = new ColorBgra();
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for (int y = 0; y < height; y++)
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{
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for (int x = 0; x < width; x++)
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{
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pixelColor[0, 0] = source.GetPixel(x, y);
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pixelColor[0, 1] = source.GetPixel(x, y + 1);
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pixelColor[0, 2] = source.GetPixel(x, y + 2);
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pixelColor[1, 0] = source.GetPixel(x + 1, y);
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pixelColor[1, 1] = source.GetPixel(x + 1, y + 1);
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pixelColor[1, 2] = source.GetPixel(x + 1, y + 2);
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pixelColor[2, 0] = source.GetPixel(x + 2, y);
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pixelColor[2, 1] = source.GetPixel(x + 2, y + 1);
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pixelColor[2, 2] = source.GetPixel(x + 2, y + 2);
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pixel = (((pixelColor[0, 0].Blue * matrix.Matrix[0, 0]) +
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(pixelColor[1, 0].Blue * matrix.Matrix[1, 0]) +
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(pixelColor[2, 0].Blue * matrix.Matrix[2, 0]) +
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(pixelColor[0, 1].Blue * matrix.Matrix[0, 1]) +
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(pixelColor[1, 1].Blue * matrix.Matrix[1, 1]) +
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(pixelColor[2, 1].Blue * matrix.Matrix[2, 1]) +
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(pixelColor[0, 2].Blue * matrix.Matrix[0, 2]) +
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(pixelColor[1, 2].Blue * matrix.Matrix[1, 2]) +
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(pixelColor[2, 2].Blue * matrix.Matrix[2, 2])) / factor) + matrix.Offset;
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if (pixel < 0) pixel = 0;
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else if (pixel > 255) pixel = 255;
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color.Blue = (byte)pixel;
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pixel = (((pixelColor[0, 0].Green * matrix.Matrix[0, 0]) +
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(pixelColor[1, 0].Green * matrix.Matrix[1, 0]) +
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(pixelColor[2, 0].Green * matrix.Matrix[2, 0]) +
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(pixelColor[0, 1].Green * matrix.Matrix[0, 1]) +
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(pixelColor[1, 1].Green * matrix.Matrix[1, 1]) +
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(pixelColor[2, 1].Green * matrix.Matrix[2, 1]) +
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(pixelColor[0, 2].Green * matrix.Matrix[0, 2]) +
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(pixelColor[1, 2].Green * matrix.Matrix[1, 2]) +
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(pixelColor[2, 2].Green * matrix.Matrix[2, 2])) / factor) + matrix.Offset;
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if (pixel < 0) pixel = 0;
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else if (pixel > 255) pixel = 255;
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color.Green = (byte)pixel;
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pixel = (((pixelColor[0, 0].Red * matrix.Matrix[0, 0]) +
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(pixelColor[1, 0].Red * matrix.Matrix[1, 0]) +
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(pixelColor[2, 0].Red * matrix.Matrix[2, 0]) +
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(pixelColor[0, 1].Red * matrix.Matrix[0, 1]) +
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(pixelColor[1, 1].Red * matrix.Matrix[1, 1]) +
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(pixelColor[2, 1].Red * matrix.Matrix[2, 1]) +
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(pixelColor[0, 2].Red * matrix.Matrix[0, 2]) +
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(pixelColor[1, 2].Red * matrix.Matrix[1, 2]) +
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(pixelColor[2, 2].Red * matrix.Matrix[2, 2])) / factor) + matrix.Offset;
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if (pixel < 0) pixel = 0;
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else if (pixel > 255) pixel = 255;
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color.Red = (byte)pixel;
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color.Alpha = pixelColor[1, 1].Alpha;
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dest.SetPixel(x + 1, y + 1, color);
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}
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}
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}
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return result;
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}
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public static ConvolutionMatrix Smooth(int weight = 1)
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{
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ConvolutionMatrix cm = new ConvolutionMatrix();
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cm.SetAll(1);
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cm.Matrix[1, 1] = weight;
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cm.Factor = weight + 8;
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return cm;
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}
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public static ConvolutionMatrix GaussianBlur(int weight = 4)
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{
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ConvolutionMatrix cm = new ConvolutionMatrix();
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cm.SetAll(1);
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cm.Matrix[1, 1] = weight;
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cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = 2;
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cm.Factor = weight + 12;
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return cm;
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}
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public static ConvolutionMatrix MeanRemoval(int weight = 9)
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{
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ConvolutionMatrix cm = new ConvolutionMatrix();
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cm.SetAll(-1);
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cm.Matrix[1, 1] = weight;
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cm.Factor = weight - 8;
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return cm;
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}
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public static ConvolutionMatrix Sharpen(int weight = 11)
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{
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ConvolutionMatrix cm = new ConvolutionMatrix();
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cm.SetAll(0);
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cm.Matrix[1, 1] = weight;
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cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = -2;
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cm.Factor = weight - 8;
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return cm;
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}
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public static ConvolutionMatrix Emboss()
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{
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ConvolutionMatrix cm = new ConvolutionMatrix();
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cm.SetAll(-1);
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cm.Matrix[1, 1] = 4;
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cm.Matrix[1, 0] = cm.Matrix[0, 1] = cm.Matrix[2, 1] = cm.Matrix[1, 2] = 0;
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cm.Offset = 127;
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return cm;
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}
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public static ConvolutionMatrix EdgeDetect()
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{
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ConvolutionMatrix cm = new ConvolutionMatrix();
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cm.Matrix[0, 0] = cm.Matrix[1, 0] = cm.Matrix[2, 0] = -1;
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cm.Matrix[0, 1] = cm.Matrix[1, 1] = cm.Matrix[2, 1] = 0;
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cm.Matrix[0, 2] = cm.Matrix[1, 2] = cm.Matrix[2, 2] = 1;
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cm.Offset = 127;
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return cm;
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}
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}
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} |