Gaussian filtering is extensively used in Image Processing to reduce the noise of an image. In this article I will generate the 2D Gaussian Kernel that follows the Gaussian Distribution which is given
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Where σ is the standard deviation of distribution, x is the distance from the origin in the horizontal axis, y is the distance from the origin in the vertical axis. The mean is assumed to be at origin O(0,0). The pictorial view of Gaussian Distribution for σ= 0 and mean at origin is
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