Impulse noise removal by a nonmonotone adaptive gradient method

Gaohang Yu, Liqun Qi, Yimin Sun, Yi Zhou

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)2891-2897
Number of pages7
JournalSignal Processing
Volume90
Issue number10
DOIs
Publication statusPublished - 1 Oct 2010

Keywords

  • Adaptive gradient method
  • Image denoising
  • Impulse noise
  • Optimization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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