private void PlotMedianFilter()
{
var plotMedian = new PlotModel {
Title = $"Median Filter Plot for {fileInfo.Name}"
};
plotMedian.Axes.Add(new LinearAxis {
Title = "R", Position = AxisPosition.Bottom
});
plotMedian.Axes.Add(new LinearAxis {
Title = "PSNR", Position = AxisPosition.Left
});
var probValue = new List <double>
{
0.025,
0.050,
0.125,
0.250
};
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(fileInfo.FullName);
Image image = imageLoader.Image;
foreach (var value in probValue)
{
var points = new LineSeries
{
StrokeThickness = 2,
MarkerSize = 4,
Title = $"{value * 2 * 100} %"
};
points.MarkerType = MarkerType.Circle;
for (var R = 1; R <= 5; R++)
{
imageLoader.AddNoise(new ImpulseNoise(value, value));
imageLoader.AddMedianFilter(R);
double psnr = imageLoader.CalculatePSNR(image);
points.Points.Add(new DataPoint(R, psnr));
imageLoader.Image = image;
}
plotMedian.Series.Add(points);
}
}
pngExporter.ExportToFile(plotMedian, $"{outputPath}/{fileInfo.Name}/MedianFilterPlot.png");
}
private static void MedianFilter(FileInfo file, string outputFileName)
{
Console.WriteLine("***MEDIAN FILTER***");
if (file == null)
{
throw new ArgumentNullException(nameof(file));
}
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(file.FullName);
Image image = imageLoader.Image;
imageLoader.AddNoise(new ImpulseNoise(0.125, 0.125));
imageLoader.Save($"{outputFileName}impulsenoise{file.Extension}");
Console.WriteLine($"psnr-noise: {imageLoader.CalculatePSNR(image):F2}");
imageLoader.AddMedianFilter(2);
imageLoader.Save($"{outputFileName}medianfiltered{file.Extension}");
Console.WriteLine($"psnr-medianfilter: {imageLoader.CalculatePSNR(image):F2}");
}
}
