/// <summary>
/// Modification of fastNlMeansDenoisingMulti function for colored images sequences
/// </summary>
/// <param name="srcImgs">Input 8-bit 3-channel images sequence. All images should have the same type and size.</param>
/// <param name="dst">Output image with the same size and type as srcImgs images.</param>
/// <param name="imgToDenoiseIndex">Target image to denoise index in srcImgs sequence</param>
/// <param name="temporalWindowSize">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.</param>
/// <param name="h">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.</param>
/// <param name="hColor"> The same as h but for color components.</param>
/// <param name="templateWindowSize">Size in pixels of the template patch that is used to compute weights. Should be odd. Recommended value 7 pixels</param>
/// <param name="searchWindowSize">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</param>
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)
{
IEnumerable <InputArray> srcImgsAsArrays = EnumerableEx.Select(srcImgs, m => new InputArray(m));
FastNlMeansDenoisingColoredMulti(srcImgsAsArrays, dst, imgToDenoiseIndex, templateWindowSize,
h, hColor, templateWindowSize, searchWindowSize);
}