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176 lines
5.3 KiB
C#
176 lines
5.3 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) 2007-2018 ShareX Team
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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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using ShareX.HelpersLib;
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using System;
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using System.ComponentModel;
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using System.Drawing;
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using System.Drawing.Imaging;
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// Adapted from https://stackoverflow.com/questions/33569396/correctly-implement-a-2-pass-gaussian-blur
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namespace ShareX.ImageEffectsLib
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{
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[Description("Gaussian blur")]
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internal class GaussianBlur : ImageEffect
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{
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private double _sigma;
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private int _size;
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private double[,] _cachedKernelHoriz;
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private double[,] _cachedKernelVert;
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[DefaultValue(0.7955555)]
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public double Sigma
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{
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get => _sigma;
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set
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{
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_sigma = Math.Max(value, 0.1);
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CreateKernels(out _cachedKernelHoriz, out _cachedKernelVert);
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}
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}
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[DefaultValue(3)]
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public int Size
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{
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get => _size;
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set
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{
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_size = value.Min(1);
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if (_size.IsEvenNumber())
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{
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_size++;
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}
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CreateKernels(out _cachedKernelHoriz, out _cachedKernelVert);
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}
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}
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public GaussianBlur()
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{
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this.ApplyDefaultPropertyValues();
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}
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private double Gaussian(double x)
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{
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double left = 1.0 / (Math.Sqrt(2 * Math.PI) * _sigma);
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double exponentNumerator = -x * x;
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double exponentDenominator = 2 * Math.Pow(_sigma, 2);
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double right = Math.Exp(exponentNumerator / exponentDenominator);
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return left * right;
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}
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private void CreateKernels(out double[,] horiz, out double[,] vert)
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{
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horiz = new double[1, _size];
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double sum = 0.0;
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double midpoint = (_size - 1) / 2.0;
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for (int i = 0; i < _size; i++)
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{
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sum += horiz[0, i] = Gaussian(i - midpoint);
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}
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// Normalise kernel so that the sum of all weights equals 1
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for (int i = 0; i < _size; i++)
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{
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horiz[0, i] /= sum;
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}
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// Copy the kernel into the vertical
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vert = new double[_size, 1];
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for (int i = 0; i < _size; i++)
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{
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vert[i, 0] = horiz[0, i];
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}
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}
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private static void ApplyKernel(UnsafeBitmap bmp, double[,] kernel)
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{
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int kernelHeight = kernel.GetLength(0);
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int kernelWidth = kernel.GetLength(1);
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int originX = (kernelWidth - 1) / 2;
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int originY = (kernelHeight - 1) / 2;
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for (int y = 0; y < bmp.Height; y++)
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{
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for (int x = 0; x < bmp.Width; x++)
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{
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double r = 0.0;
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double g = 0.0;
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double b = 0.0;
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// Apply each matrix multiplier to the color components for each pixel.
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for (int fy = 0; fy < kernelHeight; fy++)
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{
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int fyr = fy - originY;
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int offsetY = y + fyr;
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offsetY.Clamp(0, bmp.Height - 1);
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for (int fx = 0; fx < kernelWidth; fx++)
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{
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int fxr = fx - originX;
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int offsetX = x + fxr;
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offsetX.Clamp(0, bmp.Width - 1);
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ColorBgra currentColor = bmp.GetPixel(offsetX, offsetY);
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r += kernel[fy, fx] * currentColor.Red;
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g += kernel[fy, fx] * currentColor.Green;
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b += kernel[fy, fx] * currentColor.Blue;
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}
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}
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bmp.SetPixel(x, y, new ColorBgra((byte)b, (byte)g, (byte)r, bmp.GetPixel(x, y).Alpha));
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}
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}
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}
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public override Image Apply(Image img)
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{
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using (img)
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{
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Bitmap result = (Bitmap)img.Clone();
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using (UnsafeBitmap dest = new UnsafeBitmap(result, true, ImageLockMode.ReadWrite))
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{
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ApplyKernel(dest, _cachedKernelHoriz);
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ApplyKernel(dest, _cachedKernelVert);
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}
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return result;
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}
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}
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}
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} |