Cv2FastNlMeansDenoisingColoredMulti Method (IEnumerableInputArray, OutputArray, Int32, Int32, Single, Single, Int32, Int32) OpenCvSharp Class Library
Modification of fastNlMeansDenoisingMulti function for colored images sequences

Namespace:  OpenCvSharp.CPlusPlus
Assembly:  OpenCvSharp.CPlusPlus (in OpenCvSharp.CPlusPlus.dll) Version: 1.0.0.0 (1.0.0.0)
Syntax

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

Parameters

srcImgs
Type: System.Collections.GenericIEnumerableInputArray
Input 8-bit 3-channel images sequence. All images should have the same type and size.
dst
Type: OpenCvSharp.CPlusPlusOutputArray
Output image with the same size and type as srcImgs images.
imgToDenoiseIndex
Type: SystemInt32
Target image to denoise index in srcImgs sequence
temporalWindowSize
Type: SystemInt32
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 (Optional)
Type: SystemSingle
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 (Optional)
Type: SystemSingle
The same as h but for color components.
templateWindowSize (Optional)
Type: SystemInt32
Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels
searchWindowSize (Optional)
Type: SystemInt32
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
See Also

Reference