Rician Noise Removal via a Learned Dictionary
Joint Authors
Shen, Lixin
Tian, Jiapeng
Jiang, Qingtang
Zeng, Xueying
Zou, Yuru
Lu, Jian
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper proposes a new effective model for denoising images with Rician noise.
The sparse representations of images have been shown to be efficient approaches for image processing.
Inspired by this, we learn a dictionary from the noisy image and then combine the MAP model with it for Rician noise removal.
For solving the proposed model, the primal-dual algorithm is applied and its convergence is studied.
The computational results show that the proposed method is promising in restoring images with Rician noise.
American Psychological Association (APA)
Lu, Jian& Tian, Jiapeng& Shen, Lixin& Jiang, Qingtang& Zeng, Xueying& Zou, Yuru. 2019. Rician Noise Removal via a Learned Dictionary. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1197724
Modern Language Association (MLA)
Lu, Jian…[et al.]. Rician Noise Removal via a Learned Dictionary. Mathematical Problems in Engineering No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1197724
American Medical Association (AMA)
Lu, Jian& Tian, Jiapeng& Shen, Lixin& Jiang, Qingtang& Zeng, Xueying& Zou, Yuru. Rician Noise Removal via a Learned Dictionary. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1197724
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197724