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Mean curvature regularization-based Poisson image restoration

[+] Author Affiliations
Fuquan Ren, Tianshuang Qiu, Hui Liu

Dalian University of Technology, School of Information and Communication Engineering, No. 2, Linggong Road, Dalian 116023, China

J. Electron. Imaging. 24(3), 033025 (Jun 23, 2015). doi:10.1117/1.JEI.24.3.033025
History: Received January 12, 2015; Accepted May 21, 2015
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Abstract.  The restoration of blurred images corrupted by Poisson noise is an important task in various applications such as medical imaging, microscopy imaging, and so on. We focus on mean curvature-based regularization to address the Poisson noise image restoration problem. Furthermore, we derive a numerical algorithm based on the augmented Lagrange multiplier method with a splitting technique. In order to simultaneously demonstrate the effectiveness of the proposed method for Poisson noise removal with deblurring, we conduct systematic experiments on both nature images and biological images. Experimental results show that the proposed approach can produce higher quality results and more natural images compared to some state-of-the-art variational algorithms recently developed.

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Citation

Fuquan Ren ; Tianshuang Qiu and Hui Liu
"Mean curvature regularization-based Poisson image restoration", J. Electron. Imaging. 24(3), 033025 (Jun 23, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.3.033025


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