BilateralSmoothingFilterOptions Class

Summary: The Bilateral Smoothing Filter Options.

Module: aspose.imaging.imagefilters.filteroptions

Full Name: aspose.imaging.imagefilters.filteroptions.BilateralSmoothingFilterOptions

Inheritance: FilterOptionsBase

Constructors

Name	Description
BilateralSmoothingFilterOptions()	Initializes a new instance of the BilateralSmoothingFilterOptions class.
BilateralSmoothingFilterOptions(size)	Initializes a new instance of the BilateralSmoothingFilterOptions class.

Properties

Name	Type	Access	Description
color_factor	float	r/w	Gets or sets the color factor.
color_power	float	r/w	Gets or sets the color power.
size	int	r/w	Gets or sets the size of the kernel.
spatial_factor	float	r/w	Gets or sets the spatial factor.
spatial_power	float	r/w	Gets or sets the spatial power.

Constructor: BilateralSmoothingFilterOptions()

 BilateralSmoothingFilterOptions() 

Initializes a new instance of the BilateralSmoothingFilterOptions class.

Constructor: BilateralSmoothingFilterOptions(size)

 BilateralSmoothingFilterOptions(size) 

Initializes a new instance of the BilateralSmoothingFilterOptions class.

Parameters:

Parameter	Type	Description
size	int	Size of the kernal.

Examples

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

from aspose.pycore import as_of
from aspose.imaging import Image, RasterImage
from aspose.imaging.imagefilters.filteroptions import *
from os.path import join as join_path

directory = r"c:\temp"

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a median filter with a rectangle size of 5 to the entire image.
	rasterImage.filter(rasterImage.bounds, MedianFilterOptions(5))
	rasterImage.save(join_path(directory, "sample.MedianFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a bilateral smoothing filter with a kernel size of 5 to the entire image.
	rasterImage.filter(rasterImage.bounds, BilateralSmoothingFilterOptions(5))
	rasterImage.save(join_path(directory, "sample.BilateralSmoothingFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a Gaussian blur filter with a radius of 5 and a sigma value of 4.0 to the entire image.
	rasterImage.filter(rasterImage.bounds, GaussianBlurFilterOptions(5, 4.0))
	rasterImage.save(join_path(directory, "sample.GaussianBlurFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a Gauss-Wiener filter with a radius of 5 and a smooth value of 4.0 to the entire image.
	rasterImage.filter(rasterImage.bounds, GaussWienerFilterOptions(5, 4.0))
	rasterImage.save(join_path(directory, "sample.GaussWienerFilter.png"))

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# 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.bounds, MotionWienerFilterOptions(10, 1.0, 90.0))
	rasterImage.save(join_path(directory, "sample.MotionWienerFilter.png"))
}

with Image.load(join_path(directory, "sample.png")) as image:
	rasterImage = as_of(image, RasterImage)
	# Apply a sharpen filter with a kernel size of 5 and a sigma value of 4.0 to the entire image.
	rasterImage.filter(rasterImage.bounds, SharpenFilterOptions(5, 4.0))
	rasterImage.save(join_path(directory, "sample.SharpenFilter.png"))