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
The sharpen filter options.
Constructors
Constructor | Description |
---|---|
SharpenFilterOptions(int size, double sigma) | Initializes a new instance of the SharpenFilterOptions class. |
SharpenFilterOptions() | Initializes a new instance of the SharpenFilterOptions class. |
Methods
Method | Description |
---|---|
getKernel() | Gets the kernel. |
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). |
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();
}
SharpenFilterOptions(int size, double sigma)
public SharpenFilterOptions(int size, double sigma)
Initializes a new instance of the SharpenFilterOptions class.
Parameters:
Parameter | Type | Description |
---|---|---|
size | int | The size of the kernel. |
sigma | double | The sigma. |
SharpenFilterOptions()
public SharpenFilterOptions()
Initializes a new instance of the SharpenFilterOptions class.
getKernel()
public double[][] getKernel()
Gets the kernel.
Returns: double[][] - the kernel.
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). |