static void Experiment5Taskv2Performence()
{
int level = 2;
string name = "lenna";
Logger.Info(name);
string inputName = $"../../../test_images/{name}.png";
Bitmap input = new Bitmap(inputName);
Bitmap output = new Bitmap(input.Width, input.Height, input.PixelFormat);
var imageReader = new BitmapReader <int>(input);
var mallat = new MallatDecomposition <int, NineSevenBiortogonalInteger <int> >(imageReader).Build(input.Size, level);
Logger.Info(mallat.ToString());
var calculator = new MallatEntropyEvaluator <int>(input.Size, level, mallat);
var mallatCollector = new MallatMerger <int>(input.Size, level, mallat);
var imageWriter = new BitmapWriter <int>(new Bitmap(input.Width, input.Height, System.Drawing.Imaging.PixelFormat.Format32bppRgb), "", mallatCollector);
string outputName = $"{inputName}_{mallat.ToString()}.png";
imageWriter.SetImageName(outputName);
calculator.DataLength = 3;
var sw = System.Diagnostics.Stopwatch.StartNew();
Logger.Info("Sync:");
imageWriter.Process();
Logger.Info($"Time:\t{sw.Elapsed}");
sw.Restart();
Logger.Info("Async v2:");
imageWriter.ProcessAsync();
Logger.Info($"Time:\t{sw.Elapsed}");
}
static void ExperimentEntropy(string name, int level)
{
string folder = "../../../test_images";
string inputName = $"{folder}/{name}.png";
Logger.Info(inputName);
Bitmap input = new Bitmap(inputName);
Bitmap output = new Bitmap(input.Width, input.Height, input.PixelFormat);
var tester = new MallatTester <int>((GetMallat) =>
{
var imageReader = new BitmapReader <int>(input);
var mallat = GetMallat(imageReader);
Logger.Info(mallat.ToString());
var calculator = new MallatEntropyEvaluator <int>(input.Size, level, (Segment <int>)mallat);
var mallatCollector = new MallatMerger <int>(input.Size, level, (Segment <int>)mallat);
var imageWriter = new BitmapWriter <int>(new Bitmap(input.Width, input.Height, System.Drawing.Imaging.PixelFormat.Format32bppArgb), "", mallatCollector);
string outputName = $"{folder}/{level}/{name}_{mallat.ToString()}.png";
imageWriter.SetImageName(outputName);
calculator.DataLength = 3;
return(new Node <int>[] { imageWriter, calculator });
});
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, TwoTwoInterpolatingInteger <int> >(predecessor).Build(input.Size, level)); });
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, FourTwoInterpolatingInteger <int> >(predecessor).Build(input.Size, level)); });
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, TwoFourInterpolatingInteger <int> >(predecessor).Build(input.Size, level)); });
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, FourFourInterpolatingInteger <int> >(predecessor).Build(input.Size, level)); });
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, TwoPlusTwoTwoInteger <int> >(predecessor).Build(input.Size, level)); });
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, DaubechiesWaveletD4Integer <int> >(predecessor).Build(input.Size, level)); });
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, NineSevenBiortogonalInteger <int> >(predecessor).Build(input.Size, level)); });
tester.AddNewMallat((predecessor) => { return(new MallatDecomposition <int, BaseWavelet <int> >(predecessor).Build(input.Size, level)); });
var sw = System.Diagnostics.Stopwatch.StartNew();
tester.RunAsync();
Logger.Info($"Time:\t{sw.Elapsed}");
}