Sven Vogel 739a00f466 | ||
---|---|---|
.. | ||
src | ||
README.md | ||
overview.png |
README.md
Optimized-Bilateral-Filter
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.
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.