Nonlinear smoothing of pictures

A local operator, “SWAC,” is introduced which identifies image neighborhoods that are noisy and do not contain any boundary. An adaptive smoothing function, guided by the response of SWAC, successfully smooths noisy regions in images without degrading edges. The method is based on heuristics, and compared to most mathematically optimal estimators it, is computationally simple and inexpensive.

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