private static void Noise(FileInfo file)
{
Console.WriteLine("***ADDING NOISES***");
if (file == null)
{
throw new ArgumentNullException(nameof(file));
}
var gaussPoints = new LineSeries
{
StrokeThickness = 2,
MarkerSize = 4,
Color = OxyColors.Red
};
var impulsePoints = new LineSeries
{
StrokeThickness = 2,
MarkerSize = 4,
Color = OxyColors.Blue
};
var psnrGauss = new List <double>();
var psnrImpulse = new List <double>();
using (var imageLoader = new ImageLoader())
{
var stddevValues = new List <double>
{
0.025,
0.05,
0.10,
0.25,
0.5
};
var probValuse = new List <double>
{
0.025,
0.05,
0.1,
0.25,
0.5
};
imageLoader.Load(file.FullName);
Image image = imageLoader.Image;
foreach (double stddev in stddevValues)
{
imageLoader.AddNoise(new GaussNoise(new Normal(0, stddev)));
double psnr = imageLoader.CalculatePSNR(image);
psnrGauss.Add(psnr);
gaussPoints.Points.Add(new DataPoint(stddev, psnr));
imageLoader.Image = image;
}
foreach (double prob in probValuse)
{
imageLoader.AddNoise(new ImpulseNoise(prob, prob));
double psnr = imageLoader.CalculatePSNR(image);
psnrImpulse.Add(psnr);
impulsePoints.Points.Add(new DataPoint(prob, psnr));
imageLoader.Image = image;
}
}
Console.WriteLine("Gauss noise: ");
foreach (double psnr in psnrGauss)
{
Console.Write($"{psnr:F2}; ");
}
Console.WriteLine();
Console.WriteLine("Impulse noise: ");
foreach (double psnr in psnrImpulse)
{
Console.Write($"{psnr:F2}; ");
}
Console.WriteLine();
var pngExporter = new PngExporter {
Width = 1280, Height = 720, Background = OxyColors.White
};
var plotGauss = new PlotModel {
Title = "Gauss noise plot"
};
plotGauss.Series.Add(gaussPoints);
plotGauss.Series.Add(impulsePoints);
pngExporter.ExportToFile(plotGauss, $"{OutputPath}/noise_psnr.png");
}
