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
srcImgsIEnumerable<Mat>Input 8-bit 3-channel images sequence. All images should have the same type and size.
dstOutputArrayOutput image with the same size and type as srcImgs images.
imgToDenoiseIndexintTarget image to denoise index in srcImgs sequence
temporalWindowSizeintNumber 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.
hfloatParameter 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.
hColorfloatThe same as h but for color components.
templateWindowSizeintSize in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels
searchWindowSizeintSize 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