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# Optimized-Bilateral-Filter
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In part 1 you can the example image with noise applied to it. In sector 2 you can see the denoised image and in sector 3 is the original unfiltered image.
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A biliteral filter is essentially a gaussian blur filter with an extra weight applied per pixel.
This weight is a the luminance range between the target pixel to filter and the sourounding pixels passed into
a gaussian weight function.
# Optimization
Instead of applying a very costly gaussian blur filter we can optimize it by using a tent blur filter instead.
This allows to speed up the performance by replacing the gaussian weight function with a tent blur kernel.
Additionally we can optimize the squareroot of the gaussian weight function for the luminance range away.
