Smooths an image using a Gaussian filter

dst = cv.GaussianBlur(src)
dst = cv.GaussianBlur(src, 'OptionName',optionValue, ...)

Input

• src input image; the image can have any number of channels, which are processed independently, but the depth should be uint8, uint16, int16, single or double.

Output

• dst output image of the same size and type as src.

Options

• KSize Gaussian kernel size. KSize(1) and KSize(2) can differ but they both must be positive and odd. Or, they can be zeros and they are computed from SigmaX and SigmaY. default [5,5]
• SigmaX Gaussian kernel standard deviation in X direction. default 0
• SigmaY Gaussian kernel standard deviation in Y direction. If SigmaY is zero, it is set to be equal to SigmaX. If both sigmas are zeros, they are computed from KSize(2) and KSize(1), respectively (see cv.getGaussianKernel for details). To fully control the result regardless of possible future modifications of all this semantics, it is recommended to specify all of KSize, SigmaX, and SigmaY. default 0
• BorderType Pixel extrapolation method, see cv.copyMakeBorder. default 'Default'

The function convolves the source image with the specified Gaussian kernel.