Rician Noise Removal via a Learned Dictionary. (18th February 2019)

• Record Type: Journal Article
• Authors: Lu, Jian; Tian, Jiapeng; Shen, Lixin; Jiang, Qingtang; Zeng, Xueying; Zou, Yuru
• Other Names: Francomano Elisa Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2019(2019)
• Publication Date: 2019-02-18
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2019/8535206
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.