Fast communication: Impulse noise removal by a nonmonotone adaptive gradient method

Authors:
Gaohang Yu;Liqun Qi;Yimin Sun;Yi Zhou
Affiliations:
Jiangxi Key Laboratory of Numerical Simulation Technology, School of Mathematics and Computer Sciences, GanNan Normal University, Ganzhou 341000, China and Department of Applied Mathematics, The H ...;Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong;School of Mathematics and Computational Sciences, Sun Yat-Sen University, China;Department of Biomedical Engineering, Zhongshan School of Medicine, Sun Yat-Sen University, China
Venue:
Signal Processing
Year:
2010

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Abstract

Image denoising is a fundamental problem in image processing. This paper proposes a nonmonotone adaptive gradient method (NAGM) for impulse noise removal. The NAGM is a low-complexity method and its global convergence can be established. Numerical results illustrate the efficiency of the NAGM and indicate that such a nonmonotone method is more suitable to solve some large-scale signal processing problems.