Quote:
Originally Posted by wonkey_monkey
I'm not really sure what you're asking... I'm a bit confused as to how radius and standard deviation work together in GBlur, since in FastBlur the parameter is actually a standard deviation which defines the radius (and just happens to be roughly equal to the radius with the default three iterations).[/code]
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In Gaussian Blur depending on the standard deviation and radius values the outer values can be insignificant but are used neverthless increasing the computation time. By increase of std deviation this can be avoided but the blur deviates(theorotically) from pure gaussian. In GBlur it warns if insignificant values (those that will not change the end result) are in the outer part . Use of separable symmetric matrix of coefficients speeds up the process.