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 TesterParameterDemo()
{
string inputName = "../../../test_images/lenna.png";
Bitmap input = new Bitmap(inputName);
var imageReader = new BitmapReader <float>(input);
var mallat = new MallatDecomposition <float, Haar <float> >(imageReader).Build(input.Size, 1);
var imageWriter = new BitmapWriter <float>(new Bitmap(input.Size.Width, input.Size.Height), "", mallat);
var tester = new ParameterTester <float>(imageWriter)
.SetNextParameters(new ParameterStorage().SetParameter("outputName", "../lenna_1.png"))
.SetNextParameters(new ParameterStorage().SetParameter("outputName", "../lenna_2.png"))
.SetNextParameters(new ParameterStorage().SetParameter("outputName", "../lenna_3.png"));
tester.RunSync();
}
