Nonlinear filtering using generalized subband decomposition

Abstract

This paper addresses a nonlinear restoration technique based on generalized multiresolution decomposition. The input signal corrupted by impulsive and nonimpulsive noise is decomposed into multiresolution bands using order statistic (OS) filters. Then nonlinear filtering is performed on these bands using denoising techniques. Simulations show that this scheme has better edge and sharp feature preservation, and better noise reduction properties compared to other OS filter based techniques.