Algorithm for Image Processing Using Improved Median Filter and Comparison of Mean, Median and Improved Median Filter

Abstract

An improved median filter algorithm is implemented for the de-noising of highly corrupted images and e dge preservation. Mean, Median and improved mean filter is used for the noise detection. Fundamental of image processing, image degradation and restoration processes are illustrated. The pictures are corrupted with different noise density and reconstructed. The noise is Gaussian and impulse (salt-and pepper) noise. An algorithm is designed to calculate the PSNR and MSE. The result is discussed for Mean, Median and improved Median filter with different noise density.