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Proceedings Paper

Hybrid regularization image restoration algorithm based on total variation
Author(s): Hongmin Zhang; Yan Wang
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Paper Abstract

To reduce the noise amplification and ripple phenomenon in the restoration result by using the traditional Richardson-Lucy deconvolution method, a novel hybrid regularization image restoration algorithm based on total variation is proposed in this paper. The key ides is that the hybrid regularization terms are employed according to the characteristics of different regions in the image itself. At the same time, the threshold between the different regularization terms is selected according to the golden section point which takes into account the human eye's visual feeling. Experimental results show that the restoration results of the proposed method are better than that of the total variation Richardson-Lucy algorithm both in PSNR and MSE, and it has the better visual effect simultaneously.

Paper Details

Date Published: 11 September 2013
PDF: 6 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89074N (11 September 2013); doi: 10.1117/12.2034795
Show Author Affiliations
Hongmin Zhang, Chongqing Univ. of Technology (China)
Yan Wang, Chongqing Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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