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Image restoration involving connectedness

Two local adaptive nonlinear filters for image denoising are described and compared to other methods. The first one is a median filter computed over a connected neighborhood that fits the local conformation of level lines. The second one deals with the size of grains in image. Both filters depend on a single parameter, the area A, are morphological more than other classic morphological filters to denoise while preserving image structures. They are particularly designed for automation.