static void Main(string[] args)
{
string path = "..\\..\\img\\lena.png";
int[,] imgArray = ImageHelper.LoadImage(path);
Console.Write("Rozmiar ramki: ");
int frameSize = int.Parse(Console.ReadLine());
//int frameSize = 2;
Console.Write("Liczba neuronów: ");
int numOfNeurons = int.Parse(Console.ReadLine());
Console.Write("Liczba epok: ");
int epochs = int.Parse(Console.ReadLine());
Random random = new Random();
Kohonen kohonen = new Kohonen(frameSize, numOfNeurons, 0.01, random);
kohonen.Train(epochs, imgArray);
Result result = kohonen.Compress(imgArray);
int[,] decompressedImage = Decompress(result);
ImageHelper.SaveImage(decompressedImage, "..\\..\\img\\test.png");
double PSNR = Coefficient.PSNR(imgArray, decompressedImage);
Console.WriteLine($"Współczynnik PSNR: {PSNR} dB");
double compressionCoefficient = CountCompressionCoefficient(imgArray, frameSize, numOfNeurons, 8);
Console.WriteLine($"Współczynnik kompresji: {compressionCoefficient}");
Console.ReadLine();
}
public static double PSNR(int[,] oldImg, int[,] newImg)
{
double MSE = Coefficient.MSE(oldImg, newImg);
return(10 * Math.Log10(Math.Pow(255, 2) / MSE));
}
