Class MotionWienerFilterOptions
Der Name: Aspose.Imaging.ImageFilters.FilterOptions Versammlung: Aspose.Imaging.dll (25.4.0)
Die Motion debluring Filter Optionen.
public class MotionWienerFilterOptions : GaussianDeconvolutionFilterOptions
Inheritance
object ← FilterOptionsBase ← DeconvolutionFilterOptions ← GaussianDeconvolutionFilterOptions ← MotionWienerFilterOptions
Vererbte Mitglieder
GaussianDeconvolutionFilterOptions.Size , GaussianDeconvolutionFilterOptions.Sigma , GaussianDeconvolutionFilterOptions.Radius , DeconvolutionFilterOptions.Kernel , DeconvolutionFilterOptions.Snr , DeconvolutionFilterOptions.Brightness , DeconvolutionFilterOptions.Grayscale , DeconvolutionFilterOptions.IsPartialLoaded , object.GetType() , object.MemberwiseClone() , object.ToString() , object.Equals(object?) , object.Equals(object?, object?) , object.ReferenceEquals(object?, object?) , object.GetHashCode()
Examples
Das folgende Beispiel gilt für verschiedene Arten von Filtern für ein Rasterbild.
string dir = "c:\\temp\\";
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a median filter with a rectangle size of 5 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.MedianFilterOptions(5));
rasterImage.Save(dir + "sample.MedianFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a bilateral smoothing filter with a kernel size of 5 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.BilateralSmoothingFilterOptions(5));
rasterImage.Save(dir + "sample.BilateralSmoothingFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a Gaussian blur filter with a radius of 5 and a sigma value of 4.0 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.GaussianBlurFilterOptions(5, 4.0));
rasterImage.Save(dir + "sample.GaussianBlurFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a Gauss-Wiener filter with a radius of 5 and a smooth value of 4.0 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.GaussWienerFilterOptions(5, 4.0));
rasterImage.Save(dir + "sample.GaussWienerFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a motion wiener filter with a length of 5, a smooth value of 4.0 and an angle of 90.0 degrees to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.MotionWienerFilterOptions(10, 1.0, 90.0));
rasterImage.Save(dir + "sample.MotionWienerFilter.png");
}
using (Aspose.Imaging.Image image = Aspose.Imaging.Image.Load(dir + "sample.png"))
{
Aspose.Imaging.RasterImage rasterImage = (Aspose.Imaging.RasterImage)image;
// Apply a sharpen filter with a kernel size of 5 and a sigma value of 4.0 to the entire image.
rasterImage.Filter(rasterImage.Bounds, new Aspose.Imaging.ImageFilters.FilterOptions.SharpenFilterOptions(5, 4.0));
rasterImage.Save(dir + "sample.SharpenFilter.png");
}
Constructors
MotionWienerFilterOptions(Doppelt, Doppelt und doppelt)
Initialisiert eine neue Instanz der Aspose.Imaging.ImageFilters.FilterOptions.MotionWienerFilterOptions Klasse.
public MotionWienerFilterOptions(int size, double sigma, double angle)
Parameters
size
int
Die Gaussische Kernelgröße.
sigma
double
Der Gaussische Kernel Sigma.
angle
double
Der Winkel in Grad.
Properties
Angle
Gibt oder legt den Winkel in Grad.
public double Angle { get; set; }
Eigentumswert
Kernel
Sie erhalten den Kernel.
public override Complex[,] Kernel { get; }
Eigentumswert
Complex [,]