New Hybrid Variational Recovery Model for Blurred Images with Multiplicative Noise

New Hybrid Variational Recovery Model for Blurred Images with Multiplicative Noise

Year:    2013

East Asian Journal on Applied Mathematics, Vol. 3 (2013), Iss. 4 : pp. 263–282

Abstract

A new hybrid variational model for recovering blurred images in the presence of multiplicative noise is proposed. Inspired by previous work on multiplicative noise removal, an I-divergence technique is used to build a strictly convex model under a condition that ensures the uniqueness of the solution and the stability of the algorithm. A split-Bregman algorithm is adopted to solve the constrained minimisation problem in the new hybrid model efficiently. Numerical tests for simultaneous deblurring and denoising of the images subject to multiplicative noise are then reported. Comparison with other methods clearly demonstrates the good performance of our new approach.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/eajam.240713.120813a

East Asian Journal on Applied Mathematics, Vol. 3 (2013), Iss. 4 : pp. 263–282

Published online:    2013-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    20

Keywords:    Convex model image deblurring multiplicative noise Split-Bregman Algorithm total variation variational model.

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