FilterWiener Method (Image, Size2D, Point2D)

CVB.Net Documentation

This function performs adaptive filtering of an image degraded by constant power additive noise.

Namespace: Stemmer.Cvb.Foundation
Assembly: Stemmer.Cvb.Foundation (in Stemmer.Cvb.Foundation.dll) Version: 14.0.0.0

Syntax

C++

Copy

public static Image Wiener(
	Image img,
	Size2D maskSize,
	Point2D maskOffset
)

Public Shared Function Wiener ( 
	img As Image,
	maskSize As Size2D,
	maskOffset As Point2D
) As Image

public:
static Image^ Wiener(
	Image^ img, 
	Size2D maskSize, 
	Point2D maskOffset
)

static member Wiener : 
        img : Image * 
        maskSize : Size2D * 
        maskOffset : Point2D -> Image

Parameters

img: Type: Stemmer.CvbImage
Image to be filtered
maskSize: Type: Stemmer.CvbSize2D
Filter mask to be used
maskOffset: Type: Stemmer.CvbPoint2D
Mask center pixel location

Return Value

Type: Image
The filtered image

Exceptions

Exception	Condition
ArgumentNullException	If the input img is null
ObjectDisposedException	If the input img has already been disposed

Remarks

For each pixel of the input image, the function determines the local image mean and variance in the rectangular neighborhood (mask) defined by maskSize and maskOffset. The deviation from the local average is then diminished according to the local variance and the noise threshold parameters. The noise threshold parameter may be zero, in which case the function tries to determine itself what local noise threshold to apply. This normally yields the best results.

Reference

Filter Class

Wiener Overload

Stemmer.Cvb.Foundation Namespace

FilterAddLanguageSpecificTextSet("LSTC5EAF34E_0?cpp=::|nu=.");Wiener Method (Image, Size2D, Point2D)

Parameters

Return Value

Reference

FilterWiener Method (Image, Size2D, Point2D)