//new_pixels is the enlarged photo - use for neighborhood, but write to smaller buffer of original size
public AdvColor[,] NoiseReductionThreshold(AdvColor[,] new_pixels, int kernel, int threshold)
{
AdvColor[,] new_image = new AdvColor[pixels.GetLength(0), pixels.GetLength(1)];
int additions = kernel / 2;
for (int i = 0 + additions; i < pixels.GetLength(0) + additions; i++)
{
for (int j = 0 + additions; j < pixels.GetLength(1) + additions; j++)
{
List <AdvColor> neighborhood = GetNeighborhood(new_pixels, i, j, kernel);
int sum = 0;
foreach (AdvColor color in neighborhood)
{
sum += color.GetColor(ColorPlane.eGreen);
}
sum /= neighborhood.Count;
AdvColor original_pixel = new AdvColor(pixels[i - additions, j - additions], ColorPlane.eGreen);
if (Math.Abs(original_pixel.GetColor(ColorPlane.eGreen) - sum) > threshold)
{
original_pixel = new AdvColor(sum, sum, sum, ColorPlane.eGreen);
}
new_image[i - additions, j - additions] = original_pixel;
}
}
return(new_image);
}
public AdvColor[,] HistogramStretch(AdvColor low, AdvColor high, Histogram histogram, ColorPlane plane)
{
int height = GetHeight();
int width = GetWidth();
AdvColor[,] new_pixels = new AdvColor[height, width];
int low_color = low.GetColor(plane);
int high_color = high.GetColor(plane);
for (int i = 0; i < height; i++)
{
for (int j = 0; j < width; j++)
{
int val = Convert.ToInt32((pixels[i, j].GetColor(plane) - low_color) * (255.0 / (high_color - low_color)));
if (val < 0)
{
val = 0;
}
if (val > 255)
{
val = 255;
}
new_pixels[i, j] = new AdvColor(val, val, val, plane);
}
}
return(new_pixels);
}
