Title: New adaptive switching scheme for impulse noise removal: modelling and resolution by genetic optimisation

Authors: Nour-Eddine Joudar; Fidae Harchli; Es-SAFI Abdelatif; Mohamed Ettaouil

Addresses: Department of Mathematics, Faculty of Sciences and Techniques, USMBA, Fes, Morocco ' Department of Mathematics, Faculty of Sciences and Techniques, USMBA, Fes, Morocco ' Department of Mathematics, Faculty of Sciences and Techniques, USMBA, Fes, Morocco ' Department of Mathematics, Faculty of Sciences and Techniques, USMBA, Fes, Morocco

Abstract: Nowadays, the optimisation is one of the techniques which has proved its efficiency in many areas. In this paper, we propose a novel optimisation-based technique for impulse noise removal. Based on the classical image restoration model, we build a new objective function by introducing a new binary vector that indicates the pixels categories. We combine each pixel with the median of its neighbours in a decision rule so that one of them generates the optimal solution. The resolution of the proposed model is carried out by the genetic algorithm. Once noisy pixels are detected, a median based filter is performed only for these pixels. Experiments show that the results are satisfactory in term of both visual quality and quantitative measurement.

Keywords: genetic algorithm; image restoration; impulse detection; median filter; optimisation; random impulse noise; switching scheme.

DOI: 10.1504/IJSISE.2017.088000

International Journal of Signal and Imaging Systems Engineering, 2017 Vol.10 No.6, pp.316 - 323

Received: 09 Mar 2017
Accepted: 21 Aug 2017
Published online: 13 Nov 2017 *

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