private static void applyAdaptiveDeadzone(float[,] array, int numCoeffs)
{
int width = array.GetLength(0);
int height = array.GetLength(1);
Biorthogonal53Wavelet2D wavelet53 = new Biorthogonal53Wavelet2D(width, height);
OrderWavelet2D waveletOrder = new OrderWavelet2D(width, height);
wavelet53.EnableCaching = true;
waveletOrder.EnableCaching = true;
wavelet53.TransformIsotropic2D(array);
//Reverse the ordering of the coefficients
waveletOrder.BacktransformIsotropic2D(array);
//Use numCoeffs cofficient out of 64 (8x8) -> for e.g. numCoeffs = 5 this
//means a compression to 7,8% of the original size
waveletOrder.CropCoefficients(array, 7, 8);
waveletOrder.TransformIsotropic2D(array);
wavelet53.BacktransformIsotropic2D(array);
}
private static void applyAdaptiveShapening(float[,] array, float position)
{
int width = array.GetLength(0);
int height = array.GetLength(1);
Biorthogonal53Wavelet2D wavelet53 = new Biorthogonal53Wavelet2D(width, height);
OrderWavelet2D waveletOrder = new OrderWavelet2D(width, height);
wavelet53.EnableCaching = true;
waveletOrder.EnableCaching = true;
wavelet53.TransformIsotropic2D(array);
//Reverse the ordering of the coefficients
waveletOrder.BacktransformIsotropic2D(array);
float[] scale = new float[8 * 8];
for (int x = 0; x < 8 * 8; x++)
{
scale [x] = 1.0f + 2.0f / ((position - x) * (position - x) + 1.0f);
}
waveletOrder.ScaleCoefficients(array, scale, 8);
waveletOrder.TransformIsotropic2D(array);
wavelet53.BacktransformIsotropic2D(array);
}
