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A fractional-order adaptive regularization primal–dual algorithm for image denoising.
- Source :
-
Information Sciences . Mar2015, Vol. 296, p147-159. 13p. - Publication Year :
- 2015
-
Abstract
- This paper aims to develop a fractional-order model and a primal–dual algorithm for image denoising, where a regularization parameter can be adjusted adaptively according to Morozov discrepancy principle at each iteration to ensure that the denoised image retains in a specific set. In the light of saddle-point theory, the convergence of our proposed algorithm is guaranteed. Simulations with comparisons are carried out to demonstrate the effectiveness of our proposed algorithm for image denoising. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00200255
- Volume :
- 296
- Database :
- Academic Search Index
- Journal :
- Information Sciences
- Publication Type :
- Periodical
- Accession number :
- 99828649
- Full Text :
- https://doi.org/10.1016/j.ins.2014.10.050