EDGE-PRESERVING SMOOTHING USING MEDIAN MEAN NEURAL HYBRID FILTERS

A novel technique for edge-preserving smoothing is developed bq, using median mean neural hybrid filters. This filter structure is represent ed by the cascade connection of a median filter, a mean filter and a n eural network. This filter can adapt itself to the various noise envir onment through the learning of a training image. In the case Ir he, e a priori data such a training image is unavailable, this filter, can b e efficiently applied to edge-preserving smoothing for the images degr aded by the Gaussian and impulsive noises. Moreover, the structure of the proposed filter is very simple. Finally, the simulation examples s how the effectiveness of the proposed filters. (C) 1998 The Franklin I nstitute. Published by Elsevier Science Ltd.