Class GaussWienerFilterOptions
이름 공간 : Aspose.Imaging.ImageFilters.FilterOptions 모임: Aspose.Imaging.dll (25.4.0)
Gauss Wiener 이미지를 분해하는 필터 옵션.
public class GaussWienerFilterOptions : GaussianDeconvolutionFilterOptions
Inheritance
object ← FilterOptionsBase ← DeconvolutionFilterOptions ← GaussianDeconvolutionFilterOptions ← GaussWienerFilterOptions
상속 회원들
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
다음 예제는 다양한 유형의 필터를 라스터 이미지에 적용합니다.
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
GaussWienerFilterOptions(듀얼, 듀얼)
Aspose.Imaging.ImageFilters.FilterOptions.GaussWienerFilterOptions 클래스의 새로운 예를 시작합니다.
public GaussWienerFilterOptions(int size, double sigma)
Parameters
size
int
가우스 핵의 크기.
sigma
double
가우스 핵심 시그마
GaussWienerFilterOptions()
Aspose.Imaging.ImageFilters.FilterOptions.GaussWienerFilterOptions 클래스의 새로운 예를 시작합니다.
public GaussWienerFilterOptions()
Properties
Kernel
코너를 얻으십시오.
public override Complex[,] Kernel { get; }
부동산 가치
Complex [,]