private void PlotGaussFilter()
{
var plotGauss = new PlotModel {
Title = $"Gauss Filter Plot for {fileInfo.Name}"
};
plotGauss.Axes.Add(new LinearAxis {
Title = "Sigma", Position = AxisPosition.Bottom
});
plotGauss.Axes.Add(new LinearAxis {
Title = "PSNR", Position = AxisPosition.Left
});
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(fileInfo.FullName);
Image image = imageLoader.Image;
Image noise = imageLoader.AddNoise(new GaussNoise(new Normal(0, 0.25))).Image;
for (var R = 1; R <= 8; R++)
{
var points = new LineSeries
{
StrokeThickness = 2,
MarkerSize = 4,
Title = $"R = {R}"
};
points.MarkerType = MarkerType.Circle;
for (var sigma = 0.5; sigma <= 3; sigma += 0.5)
{
imageLoader.Image = noise;
imageLoader.AddGaussFilter(R, sigma);
double psnr = imageLoader.CalculatePSNR(image);
points.Points.Add(new DataPoint(sigma, psnr));
imageLoader.Image = image;
}
plotGauss.Series.Add(points);
}
}
pngExporter.ExportToFile(plotGauss, $"{outputPath}/{fileInfo.Name}/GaussFilterPlot.png");
}
void PlotGaussR()
{
var plotGauss = new PlotModel {
Title = $"Gauss R with sigma 2 for {fileInfo.Name}"
};
plotGauss.Axes.Add(new LinearAxis {
Title = "R", Position = AxisPosition.Bottom
});
plotGauss.Axes.Add(new LinearAxis {
Title = "PSNR", Position = AxisPosition.Left
});
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(fileInfo.FullName);
Image image = imageLoader.Image;
var points = new LineSeries
{
StrokeThickness = 2,
MarkerSize = 4,
Color = OxyColors.Red
};
for (var R = 1; R <= 8; R++)
{
//imageLoader.Image = noise;
imageLoader.AddNoise(new GaussNoise(new Normal(0, 35))); // 100 dispersy
imageLoader.AddGaussFilter(R, 2);
double psnr = imageLoader.CalculatePSNR(image);
points.Points.Add(new DataPoint(R, psnr));
imageLoader.Image = image;
}
plotGauss.Series.Add(points);
}
pngExporter.ExportToFile(plotGauss, $"{outputPath}/{fileInfo.Name}/GaussFilterPlotR.png");
}
private static void GaussFilter(FileInfo file, string outputFileName)
{
Console.WriteLine("***GAUSS FILTER***");
if (file == null)
{
throw new ArgumentNullException(nameof(file));
}
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(file.FullName);
Image image = imageLoader.Image;
imageLoader.AddNoise(new GaussNoise(new Normal(0, 0.25)));
imageLoader.Save($"{outputFileName}gaussnoise{file.Extension}");
Console.WriteLine($"psnr-noise: {imageLoader.CalculatePSNR(image):F2}");
imageLoader.AddGaussFilter(4, 1.6);
imageLoader.Save($"{outputFileName}gaussfiltered{file.Extension}");
Console.WriteLine($"psnr-gaussfilter: {imageLoader.CalculatePSNR(image):F2}");
}
}
