Rician Noise Removal via a Learned Dictionary

Jian Lu, Jiapeng Tian, Lixin Shen, Qingtang Jiang, Xueying Zeng and Yuru Zou

Mathematical Problems in Engineering, 2019, vol. 2019, 1-13

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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:8535206

DOI: 10.1155/2019/8535206

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