/// <summary>
/// Run a blur matrix over the values
/// </summary>
/// <param name="values">Values to be blurred</param>
/// <returns>Array containing the blurred values</returns>
public static byte[,] BlurValues(byte[,] values)
{
ConvolutionMatrix matrix = new ConvolutionMatrix(
1, 2, 1,
2, 4, 2,
1, 2, 1);
matrix.Factor = 16;
return(ConvolutionMatrix.Apply(values, matrix));
}
/// <summary>
/// Run a sharpening matrix over the values
/// </summary>
/// <param name="values">Values to be sharpened</param>
/// <returns>Array containing the sharpened values</returns>
public static byte[,] SharpenValues(byte[,] values)
{
// sharpen
ConvolutionMatrix matrix = new ConvolutionMatrix(
0, -2, 0,
-2, 11, -2,
0, -2, 0);
matrix.Factor = 3;
return(ConvolutionMatrix.Apply(values, matrix));
}
//ApplySmooth(ref b, 1);
public static void ApplySmooth(ref Bitmap bmp, int weight)
{
ConvolutionMatrix m = new ConvolutionMatrix();
m.Apply(1);
m.Pixel = weight;
m.Factor = weight + 8;
Convolution C = new Convolution();
C.Matrix = m;
C.Convolution3x3(ref bmp);
}
//ApplyMeanRemoval(ref b, 9);
public static void ApplyMeanRemoval(ref Bitmap bmp, int weight)
{
ConvolutionMatrix m = new ConvolutionMatrix();
m.Apply(-1);
m.Pixel = weight;
m.Factor = weight - 8;
Convolution C = new Convolution();
C.Matrix = m;
C.Convolution3x3(ref bmp);
}
//ApplySharpen(ref b, 11);
public static void ApplySharpen(ref Bitmap bmp, int weight)
{
ConvolutionMatrix m = new ConvolutionMatrix();
m.Apply(0);
m.Pixel = weight;
m.TopMid = m.MidLeft = m.MidRight = m.BottomMid = -2;
m.Factor = weight - 8;
Convolution C = new Convolution();
C.Matrix = m;
C.Convolution3x3(ref bmp);
}
//ApplyGaussianBlur(ref b, 4);
public static void ApplyGaussianBlur(ref Bitmap bmp, int Weight)
{
ConvolutionMatrix m = new ConvolutionMatrix();
m.Apply(1);
m.Pixel = Weight;
m.TopMid = m.MidLeft = m.MidRight = m.BottomMid = 2;
m.Factor = Weight + 12;
Convolution C = new Convolution();
C.Matrix = m;
C.Convolution3x3(ref bmp);
}
//Bitmap b = (Bitmap)Image.FromFile("rose.jpg");
//ApplyEmbossLaplacian(ref b);
public static void ApplyEmbossLaplacian(ref Bitmap bmp)
{
ConvolutionMatrix m = new ConvolutionMatrix();
m.Apply(-1);
m.TopMid = m.MidLeft = m.MidRight = m.BottomMid = 0;
m.Pixel = 4;
m.Offset = 127;
Convolution C = new Convolution();
C.Matrix = m;
C.Convolution3x3(ref bmp);
}
public override Image Apply(Image img)
{
using (img)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm[0, 0] = X0Y0 / Factor;
cm[0, 1] = X1Y0 / Factor;
cm[0, 2] = X2Y0 / Factor;
cm[1, 0] = X0Y1 / Factor;
cm[1, 1] = X1Y1 / Factor;
cm[1, 2] = X2Y1 / Factor;
cm[2, 0] = X0Y2 / Factor;
cm[2, 1] = X1Y2 / Factor;
cm[2, 2] = X2Y2 / Factor;
cm.Offset = Offset;
return(cm.Apply(img));
}
}
public override Bitmap Apply(Bitmap bmp)
{
using (bmp)
{
ConvolutionMatrix cm = new ConvolutionMatrix();
cm[0, 0] = X0Y0 / Factor;
cm[0, 1] = X1Y0 / Factor;
cm[0, 2] = X2Y0 / Factor;
cm[1, 0] = X0Y1 / Factor;
cm[1, 1] = X1Y1 / Factor;
cm[1, 2] = X2Y1 / Factor;
cm[2, 0] = X0Y2 / Factor;
cm[2, 1] = X1Y2 / Factor;
cm[2, 2] = X2Y2 / Factor;
cm.Offset = Offset;
return(cm.Apply(bmp));
}
}