GaussianBlurFilterOptions

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

All Implemented Interfaces: com.aspose.internal.imagefilters.convolution.gaussianblur.IGaussianBlurOptions, com.aspose.internal.imagefilters.convolution.ISquareConvolutionKernel

public class GaussianBlurFilterOptions extends ConvolutionFilterOptions implements IGaussianBlurOptions, ISquareConvolutionKernel

The Gaussian blur filter options.

Constructors

Constructor	Description
GaussianBlurFilterOptions(int size, double sigma)	Initializes a new instance of the GaussianBlurFilterOptions class.
GaussianBlurFilterOptions()	Initializes a new instance of the GaussianBlurFilterOptions class.

Methods

Method	Description
getKernel()	Gets the Gaussian kernel size.
getSize()	Gets the Gaussian kernel size.
setSize(int value)	The Gaussian kernel size.
getSigma()	Gets the Gaussian kernel sigma (smoothing).
setSigma(double value)	The Gaussian kernel sigma (smoothing).
getRadius()	Gets the radius of Gaussian ISquareConvolutionKernel.
setRadius(int value)	The radius of Gaussian ISquareConvolutionKernel.

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;

    // Apply a median filter with a rectangle size of 5 to the entire image.
    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;

    // Apply a bilateral smoothing filter with a kernel size of 5 to the entire image.
    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;

    // Apply a Gaussian blur filter with a radius of 5 and a sigma value of 4.0 to the entire image.
    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;

    // Apply a Gauss-Wiener filter with a radius of 5 and a smooth value of 4.0 to the entire image.
    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;

    // 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.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;

    // Apply a sharpen filter with a kernel size of 5 and a sigma value of 4.0 to the entire image.
    rasterImage.filter(rasterImage.getBounds(), new com.aspose.imaging.imagefilters.filteroptions.SharpenFilterOptions(5, 4.0));
    rasterImage.save(dir + "sample.SharpenFilter.png");
} finally {
    image.dispose();
}

GaussianBlurFilterOptions(int size, double sigma)

public GaussianBlurFilterOptions(int size, double sigma)

Initializes a new instance of the GaussianBlurFilterOptions class.

Parameters:

Parameter	Type	Description
size	int	The Gaussian kernel size..
sigma	double	The Gaussian kernel sigma.

GaussianBlurFilterOptions()

public GaussianBlurFilterOptions()

Initializes a new instance of the GaussianBlurFilterOptions class.

getKernel()

public double[][] getKernel()

Gets the Gaussian kernel size.

Returns: double[][] - the Gaussian kernel size.

getSize()

public int getSize()

Gets the Gaussian kernel size. Must be a positive non-zero odd value.

Returns: int - the Gaussian kernel size.

setSize(int value)

public void setSize(int value)

The Gaussian kernel size. Must be a positive non-zero odd value.

Parameters:

Parameter	Type	Description
value	int	the Gaussian kernel size.

getSigma()

public double getSigma()

Gets the Gaussian kernel sigma (smoothing). Must be a positive non-zero value.

Returns: double - the Gaussian kernel sigma (smoothing).

setSigma(double value)

public void setSigma(double value)

The Gaussian kernel sigma (smoothing). Must be a positive non-zero value.

Parameters:

Parameter	Type	Description
value	double	the Gaussian kernel sigma (smoothing).

getRadius()

public final int getRadius()

Gets the radius of Gaussian ISquareConvolutionKernel.

Returns: int - the radius of Gaussian ISquareConvolutionKernel.

setRadius(int value)

public final void setRadius(int value)

The radius of Gaussian ISquareConvolutionKernel.

Parameters:

Parameter	Type	Description
value	int	the radius of Gaussian ISquareConvolutionKernel.