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→The parameters to a Gaussian blur are:
*Radius – The size of the kernel in pixels. The appropriate pixel size can be calculated for a specific sigma, but more information on that lower down.
Just like box blur, a Gaussian blur is separable which means that you can either apply a 2D convolution kernel, or you can apply a 1D convolution kernel on each axis. Doing a single 2D convolution<br/>
means more calculations, but you only need one buffer to put the results into. Doing two 1D convolutions (one on each axis), ends up being fewer calculations, but requires two buffers to put the results<br/>
into (one intermediate buffer to hold the first axis results).