Iterative nonlocal total variation regularization method for image restoration.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 23776560.
- Also identified by DOI 10.1371/journal.pone.0065865 and PMC identifier 3679179.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
In this paper, a Bregman iteration based total variation image restoration algorithm is proposed. Based on the Bregman iteration, the algorithm splits the original total variation problem into sub-problems that are easy to solve. Moreover, non-local regularization is introduced into the proposed algorithm, and a method to choose the non-local filter parameter locally and adaptively is proposed. Experiment results show that the proposed algorithms outperform some other regularization methods.
Medical subject headings
- Algorithms