public static Image SuggestedFilter(UserImage userImage)
{
var color = userImage.MainColor;
var category = userImage.Category;
Bitmap suggested = new Bitmap(userImage.BM);
if (category == "Nature")
{
// 3x3 Sharpening Filter
double factor = 1.0;
int bias = 0;
double[,] filterMatrix =
new double[, ] {
{ 0, -1, 0, },
{ -1, 5, -1, },
{ 0, -1, 0, },
};
int r = color.R;
int g = color.G;
int b = color.B;
List <int> RGB = new List <int> {
r, g, b
};
int maxIndex = RGB.IndexOf(RGB.Max());
if (maxIndex == 0)
{
ColorMatrix ColMat = new ColorMatrix(new float[][]
{
new float[] { 1.8f, 0, 0, 0, 0 }, //R red scaling factor
new float[] { 0, 1.5f, 0, 0, 0 }, //G green scaling factor
new float[] { 0, 0, 1, 0, 0 }, //B blue scaling factor
new float[] { 0, 0, 0, 1, 0 }, //A alpha scaling factor
new float[] { 0, 0, 0, 0, 1 }, //W translations
});
suggested = ApplyColorMatrix(suggested, ColMat);
suggested = ConvolutionFilter(suggested, filterMatrix, factor, bias, false);
}
else if (maxIndex == 1)
{
ColorMatrix ColMat = new ColorMatrix(new float[][]
{
new float[] { 1, 0, 0, 0, 0 }, //R red scaling factor
new float[] { 0, 1.5f, 0, 0, 0 }, //G green scaling factor
new float[] { 0, 0, 1.3f, 0, 0 }, //B blue scaling factor
new float[] { 0, 0, 0, 1, 0 }, //A alpha scaling factor
new float[] { 0, 0, 0, 0, 1 }, //W translations
});
suggested = ApplyColorMatrix(suggested, ColMat);
suggested = ConvolutionFilter(suggested, filterMatrix, factor, bias, false);
}
else
{
ColorMatrix ColMat = new ColorMatrix(new float[][]
{
new float[] { 1, 0, 0, 0, 0 }, //R red scaling factor
new float[] { 0, 1.5f, 0, 0, 0 }, //G green scaling factor
new float[] { 0, 0, 2, 0, 0 }, //B blue scaling factor
new float[] { 0, 0, 0, 1, 0 }, //A alpha scaling factor
new float[] { 0, 0, 0, 0, 1 }, //W translations
});
suggested = ApplyColorMatrix(suggested, ColMat);
suggested = AdjustSaturation(suggested, 5);
suggested = ConvolutionFilter(suggested, filterMatrix, factor, bias, false);
}
}
else if (category == "Urban")
{
double factor = 1.0;
int bias = 0;
// 3x3 Sharpening Filter
double[,] filterMatrix =
new double[, ] {
{ 0, -1, 0, },
{ -1, 5, -1, },
{ 0, -1, 0, },
};
suggested = ConvolutionFilter(suggested, filterMatrix, factor, bias, false);
}
else if (category == "Face")
{
double factor = 1.0 / 8.0;
int bias = 0;
// 5x5 Sharpening Filter
double[,] filterMatrix =
new double[, ] {
{ -1, -1, -1, -1, -1, },
{ -1, 2, 2, 2, -1, },
{ -1, 2, 8, 2, 1, },
{ -1, 2, 2, 2, -1, },
{ -1, -1, -1, -1, -1, },
};
suggested = ConvolutionFilter(suggested, filterMatrix, factor, bias, false);
}
return(suggested);
}