Title: An enhanced nonlinear filter and its applications to medical image restoration

Authors: Boucif Beddad; Kaddour Hachemi; Jack-Gérard Postaire; Sundarapandian Vaidyanathan

Addresses: LTC Laboratory, Faculty of Technology, University of Saida Dr Tahar Moulay, Saida, Algeria ' LTC Laboratory, Faculty of Technology, University of Saida Dr Tahar Moulay, Saida, Algeria ' CRIStAL Laboratory, University of Lille, F-59000 Lille, Lille, France ' Research and Development Centre, Vel Tech University, Avadi, Chennai, 600 062, Tamil Nadu, India

Abstract: In this work, we describe an efficient developed algorithm to enhance medical images which are corrupted by the impulsive noise. However, the main objective is to remove low and high impulsive noise density using an enhanced nonlinear filter (ENLF). The employed filter performs spatial information processing to identify the pixel in an image which has been affected and restores it only by the median value of the proposed 2D moving window that have the low variance value. The proposed denoising algorithm was optimised and implemented on a fixed-point TMS320C6416 digital signal processor of Texas instruments. It was successfully tested with multiple medical images and provides very good restoration. It also gives better peak signal-to-noise ratio (PSNR) and mean square error (MSE) results than the output of the well-known existed nonlinear filters. The execution time of this algorithm is also appreciable.

Keywords: code composer studio; CCS; impulse noise; medical images; nonlinear filter; peak signal-to-noise ratio; PSNR; TMS320C6416 DSK.

DOI: 10.1504/IJBET.2022.123150

International Journal of Biomedical Engineering and Technology, 2022 Vol.38 No.4, pp.345 - 360

Received: 23 Nov 2018
Accepted: 04 Apr 2019
Published online: 01 Jun 2022 *

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