A New Method of Cleaning Video from Impulse Noise

Abstract

The paper proposes a new method of impulse noise filtering for video data processing. The method is based on the combined use of iterative processing and transformation of the result of median filtering based on the Lorentz distribution. The experimental part of the paper presents the results of comparing the quality of the proposed method with known analogs. Video distorted by impulse noise with pixel distortion probabilities from 1% to 99% inclusive was used for the simulation. Numerical assessment of the quality of cleaning video data from noise based on the peak signal-to-noise ratio (PSNR) showed that the proposed method shows the best result of processing in most considered cases, compared with the known analogs. The results obtained in the paper can be used in practical applications of digital video processing, for example, in systems of video surveillance, identification systems and control of industrial processes.