private ColorQuantizerResult CalcStatistics(byte[] image, List <Color> palette)
{
var quantizedImage = new ColorQuantizerResult(image.Length / 4);
for (int i = 0; i < image.Length / 4; i++)
{
Color? nearestColor = null;
double minDistance = double.MaxValue;
foreach (var color in palette)
{
int r = image[(i * 4) + 2] >> (8 - IndexBits);
int g = image[(i * 4) + 1] >> (8 - IndexBits);
int b = image[i * 4] >> (8 - IndexBits);
var currDistance = 0;
if (currDistance < minDistance)
{
nearestColor = color;
minDistance = currDistance;
}
}
quantizedImage.IncrementColor(nearestColor.GetValueOrDefault());
}
return(quantizedImage);
}
/// <summary>
/// Generates the quantized result.
/// </summary>
/// <param name="image">The image.</param>
/// <param name="colorCount">The color count.</param>
/// <param name="palette">The cube.</param>
/// <returns>The result.</returns>
private ColorQuantizerResult GenerateResult(byte[] image, int colorCount, ColorRange[] cube)
{
var quantizedImage = new ColorQuantizerResult(image.Length / 4);
var palette = new Color[colorCount];
for (int k = 0; k < colorCount; k++)
{
Mark(cube[k], (byte)k);
double weight = Volume(cube[k], vwt);
byte r = 0;
byte g = 0;
byte b = 0;
if (weight != 0)
{
r = (byte)(Volume(cube[k], vmr) / weight);
g = (byte)(Volume(cube[k], vmg) / weight);
b = (byte)(Volume(cube[k], vmb) / weight);
}
palette[k] = Color.FromArgb(r, g, b);
}
for (int i = 0; i < image.Length / 4; i++)
{
int r = image[(i * 4) + 2] >> (8 - IndexBits);
int g = image[(i * 4) + 1] >> (8 - IndexBits);
int b = image[i * 4] >> (8 - IndexBits);
int ind = GetIndex(r + 1, g + 1, b + 1);
byte label = tag[ind];
var color = palette[label];
quantizedImage.IncrementColor(color);
}
return(quantizedImage);
}