SharpenFilterOptions

Inheritance: java.lang.Object, com.aspose.imaging.imagefilters.filteroptions.FilterOptionsBase, com.aspose.imaging.imagefilters.filteroptions.ConvolutionFilterOptions, com.aspose.imaging.imagefilters.filteroptions.GaussianBlurFilterOptions

public class SharpenFilterOptions extends GaussianBlurFilterOptions

锐化滤镜选项。

构造函数

构造函数描述
SharpenFilterOptions(int size, double sigma)初始化 SharpenFilterOptions 类的新实例。
SharpenFilterOptions()初始化 SharpenFilterOptions 类的新实例。

方法

方法描述
getKernel()获取核。
getSize()获取 Gaussian 核的大小。
setSize(int value)高斯核的大小。
getSigma()获取 Gaussian 核 sigma(平滑)。
setSigma(double value)Gaussian 核 sigma(平滑)。

Example: The following example applies various types of filters to a raster image.

String dir = "c:\\temp\\";

com.aspose.imaging.Image image = com.aspose.imaging.Image.load(dir + "sample.png");
try {
    com.aspose.imaging.RasterImage rasterImage = (com.aspose.imaging.RasterImage) image;

    // 对整幅图像应用矩形大小为5的中值滤波器。
    rasterImage.filter(rasterImage.getBounds(), new com.aspose.imaging.imagefilters.filteroptions.MedianFilterOptions(5));
    rasterImage.save(dir + "sample.MedianFilter.png");
} finally {
    image.dispose();
}

image = com.aspose.imaging.Image.load(dir + "sample.png");
try {
    com.aspose.imaging.RasterImage rasterImage = (com.aspose.imaging.RasterImage) image;

    // 对整幅图像应用核大小为5的双边平滑滤波器。
    rasterImage.filter(rasterImage.getBounds(), new com.aspose.imaging.imagefilters.filteroptions.BilateralSmoothingFilterOptions(5));
    rasterImage.save(dir + "sample.BilateralSmoothingFilter.png");
} finally {
    image.dispose();
}

image = com.aspose.imaging.Image.load(dir + "sample.png");
try {
    com.aspose.imaging.RasterImage rasterImage = (com.aspose.imaging.RasterImage) image;

    // 对整幅图像应用半径为5、sigma值为4.0的高斯模糊滤波器。
    rasterImage.filter(rasterImage.getBounds(), new com.aspose.imaging.imagefilters.filteroptions.GaussianBlurFilterOptions(5, 4.0));
    rasterImage.save(dir + "sample.GaussianBlurFilter.png");
} finally {
    image.dispose();
}

image = com.aspose.imaging.Image.load(dir + "sample.png");
try {
    com.aspose.imaging.RasterImage rasterImage = (com.aspose.imaging.RasterImage) image;

    // 对整幅图像应用半径为5、平滑值为4.0的Gauss-Wiener滤波器。
    rasterImage.filter(rasterImage.getBounds(), new com.aspose.imaging.imagefilters.filteroptions.GaussWienerFilterOptions(5, 4.0));
    rasterImage.save(dir + "sample.GaussWienerFilter.png");
} finally {
    image.dispose();
}

image = com.aspose.imaging.Image.load(dir + "sample.png");
try {
    com.aspose.imaging.RasterImage rasterImage = (com.aspose.imaging.RasterImage) image;

    // 对整幅图像应用长度为5、平滑值为4.0、角度为90.0度的运动Wiener滤波器。
    rasterImage.filter(rasterImage.getBounds(), new com.aspose.imaging.imagefilters.filteroptions.MotionWienerFilterOptions(10, 1.0, 90.0));
    rasterImage.save(dir + "sample.MotionWienerFilter.png");
} finally {
    image.dispose();
}

image = com.aspose.imaging.Image.load(dir + "sample.png");
try {
    com.aspose.imaging.RasterImage rasterImage = (com.aspose.imaging.RasterImage) image;

    // 对整幅图像应用核大小为5、sigma值为4.0的锐化滤波器。
    rasterImage.filter(rasterImage.getBounds(), new com.aspose.imaging.imagefilters.filteroptions.SharpenFilterOptions(5, 4.0));
    rasterImage.save(dir + "sample.SharpenFilter.png");
} finally {
    image.dispose();
}

SharpenFilterOptions(int size, double sigma)

public SharpenFilterOptions(int size, double sigma)

初始化 SharpenFilterOptions 类的新实例。

Parameters:

参数类型描述
sizeint内核的大小。
sigmadoubleSigma 值。

SharpenFilterOptions()

public SharpenFilterOptions()

初始化 SharpenFilterOptions 类的新实例。

getKernel()

public double[][] getKernel()

获取核。

Returns: double[][] - 核。

getSize()

public int getSize()

获取 Gaussian 核大小。必须是正的、非零的奇数值。

Returns: int - Gaussian 核大小。

setSize(int value)

public void setSize(int value)

Gaussian 核大小。必须是正的、非零的奇数值。

Parameters:

参数类型描述
intGaussian 核大小。

getSigma()

public double getSigma()

获取 Gaussian 核 sigma(平滑)。必须是正的、非零的值。

Returns: double - Gaussian 核 sigma(平滑)。

setSigma(double value)

public void setSigma(double value)

Gaussian 核 sigma(平滑)。必须是正的、非零的值。

Parameters:

参数类型描述
doubleGaussian 核 sigma(平滑)。