public class GaussianBlurFilterOptions extends ConvolutionFilterOptions
The Gaussian blur
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();
}
| Constructor and Description |
|---|
GaussianBlurFilterOptions()
Initializes a new instance of the
GaussianBlurFilterOptions class. |
GaussianBlurFilterOptions(int radius,
double sigma)
Initializes a new instance of the
GaussianBlurFilterOptions class. |
| Modifier and Type | Method and Description |
|---|---|
int |
getRadius()
Gets or sets the radius.
|
double |
getSigma()
Gets or sets the sigma.
|
void |
setRadius(int value)
Gets or sets the radius.
|
void |
setSigma(double value)
Gets or sets the sigma.
|
getBias, getFactor, setBias, setFactorpublic GaussianBlurFilterOptions(int radius,
double sigma)
Initializes a new instance of the GaussianBlurFilterOptions class.
radius - The radius.sigma - The sigma.public GaussianBlurFilterOptions()
Initializes a new instance of the GaussianBlurFilterOptions class.
With default settings.
public int getRadius()
Gets or sets the radius.
Value: The radius.public void setRadius(int value)
Gets or sets the radius.
Value: The radius.public double getSigma()
Gets or sets the sigma.
Value: The sigma.public void setSigma(double value)
Gets or sets the sigma.
Value: The sigma.Copyright (c) 2008-2022 Aspose Pty Ltd. All Rights Reserved.