Nonlocal Mean Image Denoising Using Anisotropic Structure Tensor
Joint Authors
Wu, Xi
Xie, Mingyuan
Zhou, Jiliu
Wu, Wei
Source
Advances in Optical Technologies
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
We present a novel nonlocal mean (NLM) algorithm using an anisotropic structure tensor to achieve higher accuracy of imaging denoising and better preservation of fine image details.
Instead of using the intensity to identify the pixel, the proposed algorithm uses the structure tensor to characterize the boundary information around the pixel more comprehensively.
Meanwhile, similarity of the structure tensor is computed in a Riemannian space for more rigorous comparison, and the similarity weight of the pixel (or patch) is determined by the intensity and structure tensor simultaneously.
The proposed algorithm is compared with the original NLM algorithm and a modified NLM algorithm that is based on the principle component analysis.
Quantitative and qualitative comparisons of the three NLM algorithms are presented as well.
American Psychological Association (APA)
Wu, Xi& Xie, Mingyuan& Wu, Wei& Zhou, Jiliu. 2013. Nonlocal Mean Image Denoising Using Anisotropic Structure Tensor. Advances in Optical Technologies،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-498696
Modern Language Association (MLA)
Wu, Xi…[et al.]. Nonlocal Mean Image Denoising Using Anisotropic Structure Tensor. Advances in Optical Technologies No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-498696
American Medical Association (AMA)
Wu, Xi& Xie, Mingyuan& Wu, Wei& Zhou, Jiliu. Nonlocal Mean Image Denoising Using Anisotropic Structure Tensor. Advances in Optical Technologies. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-498696
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498696