Table of Contents

Method FastNlMeansDenoisingColoredMulti

Namespace
OpenCvSharp
Assembly
OpenCvSharp.dll

FastNlMeansDenoisingColoredMulti(IEnumerable<Mat>, OutputArray, int, int, float, float, int, int)

Modification of fastNlMeansDenoisingMulti function for colored images sequences

public static void FastNlMeansDenoisingColoredMulti(IEnumerable<Mat> srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h = 3, float hColor = 3, int templateWindowSize = 7, int searchWindowSize = 21)

Parameters

srcImgs IEnumerable<Mat>

Input 8-bit 3-channel images sequence. All images should have the same type and size.

dst OutputArray

Output image with the same size and type as srcImgs images.

imgToDenoiseIndex int

Target image to denoise index in srcImgs sequence

temporalWindowSize int

Number of surrounding images to use for target image denoising. Should be odd. Images from imgToDenoiseIndex - temporalWindowSize / 2 to imgToDenoiseIndex - temporalWindowSize / 2 from srcImgs will be used to denoise srcImgs[imgToDenoiseIndex] image.

h float

Parameter regulating filter strength for luminance component. Bigger h value perfectly removes noise but also removes image details, smaller h value preserves details but also preserves some noise.

hColor float

The same as h but for color components.

templateWindowSize int

Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels

searchWindowSize int

Size in pixels of the window that is used to compute weighted average for given pixel. Should be odd. Affect performance linearly: greater searchWindowsSize - greater denoising time. Recommended value 21 pixels