Impulse Noise Removal Using Mathematical Morphology

Abstract

From this paper, all efforts are made to develop an efficient filtering technique to suppress the most common salt and pepper noise because this noise mostly comes during image capture transmission, storage, as well as during image copying, scanning, and display. For examples, impulse noise can be generated through TV broadcasting and due to information losses. So to remove this impulse noise here a novel filter algorithm is proposed. In the first stage of detection both global and local characteristics of the noisy image are used. Use of global characteristics lowers the computational complexity. The second stage is fashioned in a different way for better performance Here a novel, effective and simple approach is implementing using powerful open-close sequence (OCS) filter to restore images that are corrupted by 40%–80% probability impulse noise. Simulation result shoes unique result which imposed our effort good with respect to resources available.