public void ApplySmooth(double weight)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[1, 1] = weight;
matrix.Factor = weight + 8;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}
public void ApplyMeanRemoval(double weight)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[0, 0] = -1;
matrix.Matrix[1, 0] = -1;
matrix.Matrix[2, 0] = -1;
matrix.Matrix[0, 1] = -1;
matrix.Matrix[1, 1] = weight;
matrix.Matrix[2, 1] = -1;
matrix.Matrix[0, 2] = -1;
matrix.Matrix[1, 2] = -1;
matrix.Matrix[2, 2] = -1;
matrix.Factor = weight - 8;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}
public void ApplyGaussianBlur(double peakValue)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[0, 0] = peakValue / 4;
matrix.Matrix[1, 0] = peakValue / 2;
matrix.Matrix[2, 0] = peakValue / 4;
matrix.Matrix[0, 1] = peakValue / 2;
matrix.Matrix[1, 1] = peakValue;
matrix.Matrix[2, 1] = peakValue / 2;
matrix.Matrix[0, 2] = peakValue / 4;
matrix.Matrix[1, 2] = peakValue / 2;
matrix.Matrix[2, 2] = peakValue / 4;
matrix.Factor = peakValue * 4;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}
public void ApplyEmboss(double weight)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[0, 0] = -1;
matrix.Matrix[1, 0] = 0;
matrix.Matrix[2, 0] = -1;
matrix.Matrix[0, 1] = 0;
matrix.Matrix[1, 1] = weight;
matrix.Matrix[2, 1] = 0;
matrix.Matrix[0, 2] = -1;
matrix.Matrix[1, 2] = 0;
matrix.Matrix[2, 2] = -1;
matrix.Factor = 4;
matrix.Offset = 127;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}
public void ApplySmooth(double weight)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[1, 1] = weight;
matrix.Factor = weight + 8;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}
public void ApplySharpen(double weight)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[0, 0] = 0;
matrix.Matrix[1, 0] = -2;
matrix.Matrix[2, 0] = 0;
matrix.Matrix[0, 1] = -2;
matrix.Matrix[1, 1] = weight;
matrix.Matrix[2, 1] = -2;
matrix.Matrix[0, 2] = 0;
matrix.Matrix[1, 2] = -2;
matrix.Matrix[2, 2] = 0;
matrix.Factor = weight - 8;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}
public void ApplyGaussianBlur(double peakValue)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[0, 0] = peakValue / 4;
matrix.Matrix[1, 0] = peakValue / 2;
matrix.Matrix[2, 0] = peakValue / 4;
matrix.Matrix[0, 1] = peakValue / 2;
matrix.Matrix[1, 1] = peakValue;
matrix.Matrix[2, 1] = peakValue / 2;
matrix.Matrix[0, 2] = peakValue / 4;
matrix.Matrix[1, 2] = peakValue / 2;
matrix.Matrix[2, 2] = peakValue / 4;
matrix.Factor = peakValue * 4;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}
public void ApplyEmboss(double weight)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(3);
matrix.SetAll(1);
matrix.Matrix[0, 0] = -1;
matrix.Matrix[1, 0] = 0;
matrix.Matrix[2, 0] = -1;
matrix.Matrix[0, 1] = 0;
matrix.Matrix[1, 1] = weight;
matrix.Matrix[2, 1] = 0;
matrix.Matrix[0, 2] = -1;
matrix.Matrix[1, 2] = 0;
matrix.Matrix[2, 2] = -1;
matrix.Factor = 4;
matrix.Offset = 127;
bitmapImage = Convolution3x3(bitmapImage, matrix);
}