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 language | English |
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Pages (from-to) | 2891-2897 |
Number of pages | 7 |
Journal | Signal Processing |
Volume | 90 |
Issue number | 10 |
DOIs | |
Publication status | Published - 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