**Inheritance:**
java.lang.Object, [com.aspose.imaging.imagefilters.filteroptions.FilterOptionsBase](../../com.aspose.imaging.imagefilters.filteroptions/filteroptionsbase), [com.aspose.imaging.imagefilters.filteroptions.ConvolutionFilterOptions](../../com.aspose.imaging.imagefilters.filteroptions/convolutionfilteroptions), [com.aspose.imaging.imagefilters.filteroptions.GaussianBlurFilterOptions](../../com.aspose.imaging.imagefilters.filteroptions/gaussianblurfilteroptions)
```
public class SharpenFilterOptions extends GaussianBlurFilterOptions
```

The sharpen filter options.
## Constructors

| Constructor | Description |
| --- | --- |
| [SharpenFilterOptions(int size, double sigma)](#SharpenFilterOptions-int-double-) | Initializes a new instance of the [SharpenFilterOptions](../../com.aspose.imaging.imagefilters.filteroptions/sharpenfilteroptions) class. |
| [SharpenFilterOptions()](#SharpenFilterOptions--) | Initializes a new instance of the [SharpenFilterOptions](../../com.aspose.imaging.imagefilters.filteroptions/sharpenfilteroptions) class. |
## Methods

| Method | Description |
| --- | --- |
| [getKernel()](#getKernel--) | Gets the kernel. |
| [getSize()](#getSize--) | Gets the Gaussian kernel size. |
| [setSize(int value)](#setSize-int-) | The Gaussian kernel size. |
| [getSigma()](#getSigma--) | Gets the Gaussian kernel sigma (smoothing). |
| [setSigma(double value)](#setSigma-double-) | The Gaussian kernel sigma (smoothing). |

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

``` java
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) {#SharpenFilterOptions-int-double-}
```
public SharpenFilterOptions(int size, double sigma)
```


Initializes a new instance of the [SharpenFilterOptions](../../com.aspose.imaging.imagefilters.filteroptions/sharpenfilteroptions) class.

**Parameters:**
| Parameter | Type | Description |
| --- | --- | --- |
| size | int | The size of the kernel. |
| sigma | double | The sigma. |

### SharpenFilterOptions() {#SharpenFilterOptions--}
```
public SharpenFilterOptions()
```


Initializes a new instance of the [SharpenFilterOptions](../../com.aspose.imaging.imagefilters.filteroptions/sharpenfilteroptions) class.

### getKernel() {#getKernel--}
```
public double[][] getKernel()
```


Gets the kernel.

**Returns:**
double[][] - the kernel.
### getSize() {#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) {#setSize-int-}
```
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() {#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) {#setSigma-double-}
```
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). |