NONLINEAR MULTIRESOLUTION DECOMPOSITION WITH APPLICATIONS IN IMAGE-RESTORATION

This paper addresses a nonlinear multiresolution decomposition scheme based on order statistic (OS) filters with applications in image resto ration. In this scheme the input signal is decomposed into multiresolu tion bands using OS filters of different parameter values. We present the deterministic and statistical properties of the decomposed signals . As an application of the proposed scheme, we consider the restoratio n of images in the presence of Gaussian and non-Gaussian noise. In the image restoration, nonlinear filtering is performed on decomposed sig nal components using denoising techniques. Simulations show that this method has better edge and sharp feature preservation and better noise reduction properties than other OS filter based techniques. (C) 1996 SPIE and IS&T.