| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 563756 | Signal Processing | 2010 | 7 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Gaohang Yu, Liqun Qi, Yimin Sun, Yi Zhou,