Image Restoration Using Five Level Modified Weighed Fuzzy Mean Filter

A new fuzzy filter for the removal of heavy additive impulse noise, called the Modified Weighted Fuzzy Mean filter (MWFMF) is proposed and analyzed in this paper. The MWFM-filtered output signal is the mean value of the corrupted signals in a sample matrix, and these signals are weighted by a membership grade of an associated fuzzy set stored in a knowledge base. The knowledge base contains a number of fuzzy sets derived from the histogram of a reference image. The Proposed filter performances are then compared with the conventional filters performances. Criteria such as MSE and PSNR are adopted for evaluating the performances of the proposed and the conventional filters. The proposed approach restores the noisy images very effectively and the PSNR improvement achieved is 3 to 5 db more than the conventional approaches.