Non-stationary linear restoration of noisy images

Abstract

The restoration of images degraded by an additive white noise is performed by non-stationary filtering the noisy image. The standard Wiener approach to this problem is modified to take into account the edge information of the image. Various filters of increasing complexity are derived. Experimental results are shown and compared to the standard Wiener filter results and other earlier attempts involving non-stationary filters.