public void Deepfry()
{
image.Resize((Percentage)50);
image.AddNoise(NoiseType.MultiplicativeGaussian);
image.Modulate((Percentage)100, (Percentage)300, (Percentage)100);
image.Resize((Percentage)200);
}
public static void AddNoise(string path, List <NoiseType> noiseTypes, double attenMin, double attenMax, bool monoChrome)
{
if (noiseTypes.Count < 1)
{
return;
}
MagickImage img = IOUtils.ReadImage(path);
if (img == null)
{
return;
}
NoiseType chosenNoiseType = GetRandomNoiseType(noiseTypes);
PreProcessing(path, "- Noise Type: " + chosenNoiseType.ToString());
Random rand = new Random();
double att = (double)rand.Next((int)attenMin, (int)attenMax + 1);
Program.Print("-> Using attenuate factor " + att);
if (monoChrome)
{
MagickImage noiseImg = new MagickImage(MagickColors.White, img.Width, img.Height);
noiseImg.AddNoise(chosenNoiseType, att);
noiseImg.ColorSpace = ColorSpace.LinearGray;
noiseImg.Write(Path.Combine(IOUtils.GetAppDataDir(), "lastnoiseimg.png"));
img.Composite(noiseImg, CompositeOperator.Multiply);
}
else
{
img.AddNoise(chosenNoiseType, att);
}
img.Write(path);
PostProcessing(img, path, path);
}
public static MagickImage PerlinNoise(int width, int height)
{
using var noise1 = new MagickImage(MagickColors.Black, width / 160, height / 160);
using var noise2 = new MagickImage(MagickColors.Black, width / 80, height / 80);
using var noise3 = new MagickImage(MagickColors.Black, width / 40, height / 40);
using var noise4 = new MagickImage(MagickColors.Black, width / 20, height / 20);
using var noise5 = new MagickImage(MagickColors.Black, width / 10, height / 10);
using var noise6 = new MagickImage(MagickColors.Black, width / 1, height / 1);
noise1.AddNoise(NoiseType.Random);
noise2.AddNoise(NoiseType.Random);
noise3.AddNoise(NoiseType.Random);
noise4.AddNoise(NoiseType.Random);
noise5.AddNoise(NoiseType.Random);
noise1.VirtualPixelMethod = VirtualPixelMethod.Tile;
noise2.VirtualPixelMethod = VirtualPixelMethod.Tile;
noise3.VirtualPixelMethod = VirtualPixelMethod.Tile;
noise4.VirtualPixelMethod = VirtualPixelMethod.Tile;
noise5.VirtualPixelMethod = VirtualPixelMethod.Tile;
noise6.VirtualPixelMethod = VirtualPixelMethod.Tile;
var geometry = new MagickGeometry(width, height)
{
FillArea = true
};
noise1.Evaluate(Channels.Default, EvaluateOperator.Multiply, 0.5);
noise1.Evaluate(Channels.Default, EvaluateOperator.Add, 0.25);
noise1.Resize(geometry);
noise2.Evaluate(Channels.Default, EvaluateOperator.Multiply, 0.25);
noise2.Evaluate(Channels.Default, EvaluateOperator.Add, 0.375);
noise2.Resize(geometry);
noise3.Evaluate(Channels.Default, EvaluateOperator.Multiply, 0.125);
noise3.Evaluate(Channels.Default, EvaluateOperator.Add, 0.4375);
noise3.Resize(geometry);
noise4.Evaluate(Channels.Default, EvaluateOperator.Multiply, 0.0625);
noise4.Evaluate(Channels.Default, EvaluateOperator.Add, 0.46875);
noise4.Resize(geometry);
noise5.Evaluate(Channels.Default, EvaluateOperator.Multiply, 0.03125);
noise5.Evaluate(Channels.Default, EvaluateOperator.Add, 0.484375);
noise5.Resize(geometry);
noise6.Evaluate(Channels.Default, EvaluateOperator.Multiply, 0.015625);
noise6.Evaluate(Channels.Default, EvaluateOperator.Add, 0.49921875);
noise6.Resize(geometry);
noise1.Composite(noise2, CompositeOperator.Plus);
noise1.Composite(noise3, CompositeOperator.Plus);
noise1.Composite(noise4, CompositeOperator.Plus);
noise1.Composite(noise5, CompositeOperator.Plus);
noise1.Composite(noise6, CompositeOperator.Plus);
noise1.AutoLevel();
return((MagickImage)noise1.Clone());
}
public override bool OverrideTextureFlakes(string textureName, Color color)
{
using (var image = new MagickImage(new MagickColor(color)
{
A = 250
}, 256, 256)) {
image.AddNoise(NoiseType.Poisson, Channels.Alpha);
return(OverrideTexture(textureName, image.ToByteArray(MagickFormat.Png)));
}
}
public Task SaveTextureFlakes(string filename, Color color)
{
var image = new MagickImage(new MagickColor(color)
{
A = 250
}, 256, 256);
image.AddNoise(NoiseType.Poisson, Channels.Alpha);
return(SaveAndDispose(filename, image));
}
static MagickImage pencilImage(int width = 256, int height = 256)
{
//convert -size 256x256 xc: +noise Random -virtual-pixel tile -motion-blur 0x20+135 -charcoal 1 pencil_tile.gif
MagickImage result = new MagickImage(new MagickColor("white"), width, height);
result.AddNoise(NoiseType.Random);
result.MotionBlur(0, 20, 135);
result.Charcoal(1, 1);
result.Threshold(new Percentage(50));
return(result);
}
public override void Apply(MagickImage image)
{
using var noise = new MagickImage(MagickColors.Black, image.Width, image.Height);
noise.AddNoise(NoiseType.Random);
noise.VirtualPixelMethod = VirtualPixelMethod.Tile;
noise.Blur(0, 5);
noise.AutoLevel();
var green = noise.Separate(Channels.Green).First();
image.Composite(green, CompositeOperator.SrcOver);
}
public void ShouldCreateDifferentImagesEachRun()
{
using (IMagickImage imageA = new MagickImage(MagickColors.Black, 10, 10))
{
using (IMagickImage imageB = new MagickImage(MagickColors.Black, 10, 10))
{
imageA.AddNoise(NoiseType.Random);
imageB.AddNoise(NoiseType.Random);
Assert.AreNotEqual(0.0, imageA.Compare(imageB, ErrorMetric.RootMeanSquared));
}
}
}
public void ShouldCreateDifferentImagesEachRun()
{
TestHelper.ExecuteInsideLock(() =>
{
using (var imageA = new MagickImage(MagickColors.Black, 10, 10))
{
using (var imageB = new MagickImage(MagickColors.Black, 10, 10))
{
imageA.AddNoise(NoiseType.Random);
imageB.AddNoise(NoiseType.Random);
Assert.NotEqual(0.0, imageA.Compare(imageB, ErrorMetric.RootMeanSquared));
}
}
});
}
public void ShouldUseTheRandomSeed()
{
MagickNET.SetRandomSeed(1337);
using (var first = new MagickImage(Files.Builtin.Logo))
{
first.AddNoise(NoiseType.Laplacian);
ColorAssert.NotEqual(MagickColors.White, first, 46, 62);
using (var second = new MagickImage(Files.Builtin.Logo))
{
second.AddNoise(NoiseType.Laplacian, 2.0);
ColorAssert.NotEqual(MagickColors.White, first, 46, 62);
Assert.False(first.Equals(second));
}
}
MagickNET.ResetRandomSeed();
}
