private static void LaplacianFilter(FileInfo file, string outputFileName)
{
Console.WriteLine("***LAPLACIAN FILTER***");
if (file == null)
{
throw new ArgumentNullException(nameof(file));
}
double[] alphas = { 0, 1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6 };
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(file.FullName);
imageLoader.AddNoise(new GaussNoise(new Normal(0.0001, 0.0001)));
Image I = imageLoader.Image;
Console.WriteLine($"Avg luma of src: {imageLoader.CalculateAvgLuminocity()}");
imageLoader.PlotHistogram("src", OutputPath, file);
foreach (var alpha in alphas)
{
if (alpha == 0)
{
double[,] I1 = imageLoader.AddLaplacianFilterAlpha0();
//imageLoader.Save($"{outputFileName}_I1_laplacianfiltered{file.Extension}");
//Console.WriteLine($"Avg luma of I1: {imageLoader.CalculateAvgLuminocity()}");
//imageLoader.PlotHistogram("I1", OutputPath, file);
imageLoader.Add128(I1);
imageLoader.Save($"{outputFileName}_I1+128_laplacianfiltered{file.Extension}");
Console.WriteLine($"Avg luma of I1 + 128: {imageLoader.CalculateAvgLuminocity()}");
imageLoader.PlotHistogram("I1+128", OutputPath, file);
imageLoader.Image = I;
imageLoader.AddImage(I, I1);
imageLoader.Save($"{outputFileName}_I2_laplacianfiltered{file.Extension}");
Console.WriteLine($"Avg luma of I2: {imageLoader.CalculateAvgLuminocity()}");
imageLoader.PlotHistogram("I2", OutputPath, file);
}
else
{
imageLoader.AddLaplacianFilter(alpha);
imageLoader.Save($"{outputFileName}laplacianfiltered_(alpha={alpha}){file.Extension}");
Console.WriteLine($"Avg luma of alpha = {alpha}: {imageLoader.CalculateAvgLuminocity()}");
imageLoader.PlotHistogram($"alpha={alpha}", OutputPath, file);
}
imageLoader.Image = I;
}
}
}
private static void TwoDotGrad(FileInfo file, string outputFileName)
{
double[] a = { 0, 65, 180, 255 };
double[] b = { 0, 40, 210, 255 };
var f = MathNet.Numerics.Interpolate.Linear(a, b);
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(file.FullName);
imageLoader.AddNoise(new GaussNoise(new Normal(0.0001, 0.0001)));
Bitmap image = (Bitmap)imageLoader.Image;
imageLoader.PlotHistogram("before", OutputPath, file);
int height = image.Height;
int width = image.Width;
for (var y = 0; y < height; y++)
{
for (var x = 0; x < width; x++)
{
double color = f.Interpolate(image.GetPixel(x, y).R);
Color destinationColor = Color.FromArgb(
Convert.ToByte(color.Clamp(0, 255)),
Convert.ToByte(color.Clamp(0, 255)),
Convert.ToByte(color.Clamp(0, 255)));
image.SetPixel(x, y, destinationColor);
}
}
imageLoader.Image = image;
imageLoader.Save($"{outputFileName}_gradation_{file.Extension}");
imageLoader.PlotHistogram("after", OutputPath, file);
}
}
private static void BoxFilter(FileInfo file, string outputFileName)
{
Console.WriteLine("***BOX FILTER***");
if (file == null)
{
throw new ArgumentNullException(nameof(file));
}
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(file.FullName);
Image image = imageLoader.Image;
imageLoader.AddNoise(new GaussNoise(new Normal(0, 0.25)));
imageLoader.Save($"{outputFileName}noise{file.Extension}");
Console.WriteLine($"psnr-noise: {imageLoader.CalculatePSNR(image):F2}");
imageLoader.AddBoxFilter(5);
imageLoader.Save($"{outputFileName}boxfiltered{file.Extension}");
Console.WriteLine($"psnr-boxfilter: {imageLoader.CalculatePSNR(image):F2}");
}
}
private static void MedianFilter(FileInfo file, string outputFileName)
{
Console.WriteLine("***MEDIAN FILTER***");
if (file == null)
{
throw new ArgumentNullException(nameof(file));
}
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(file.FullName);
Image image = imageLoader.Image;
imageLoader.AddNoise(new ImpulseNoise(0.125, 0.125));
imageLoader.Save($"{outputFileName}impulsenoise{file.Extension}");
Console.WriteLine($"psnr-noise: {imageLoader.CalculatePSNR(image):F2}");
imageLoader.AddMedianFilter(2);
imageLoader.Save($"{outputFileName}medianfiltered{file.Extension}");
Console.WriteLine($"psnr-medianfilter: {imageLoader.CalculatePSNR(image):F2}");
}
}
private static void SobelFilter(FileInfo file, string outputFileName)
{
Console.WriteLine("***SOBEL FILTER***");
if (file == null)
{
throw new ArgumentNullException(nameof(file));
}
using (var imageLoader = new ImageLoader())
{
imageLoader.Load(file.FullName);
imageLoader.AddNoise(new GaussNoise(new Normal(0.0001, 0.0001)));
Image I = imageLoader.Image;
//Image Gh = imageLoader.AddSobelFilter("H").Image;
//imageLoader.Save($"{outputFileName}_GH_sobel{file.Extension}");
//imageLoader.Image = I;
//Image Gv = imageLoader.AddSobelFilter("V").Image;
//imageLoader.Save($"{outputFileName}_GV_sobel{file.Extension}");
double[,] Gv = imageLoader.GetSobelFilterDouble("V");
double[,] Gh = imageLoader.GetSobelFilterDouble("H");
Image ColorMap = Filters.SobelFilter.GetColorMap(Gv, Gh);
imageLoader.Image = ColorMap;
imageLoader.Save($"{outputFileName}_sobel_ColorMap_{file.Extension}");
for (int thr = 15; thr < 200; thr += 10)
{
Image BinaryCard = Filters.SobelFilter.GetBinaryCard(thr, Gv, Gh);
imageLoader.Image = BinaryCard;
imageLoader.Save($"{outputFileName}_sobel_BinaryCard_(thr={thr}){file.Extension}");
}
}
}
