Adaptive optics image restoration algorithm based on wavefront reconstruction and adaptive total variation method

Dongming Li; Lijuan Zhang; Ting Wang; Huan Liu; Jinhua Yang; Guifen Chen

doi:10.1117/12.2249974

7 November 2016 Adaptive optics image restoration algorithm based on wavefront reconstruction and adaptive total variation method

Dongming Li, Lijuan Zhang, Ting Wang, Huan Liu, Jinhua Yang, Guifen Chen

Author Affiliations +

Proceedings Volume 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016; 101410Z (2016) https://doi.org/10.1117/12.2249974
Event: Selected Proceedings of the Chinese Society for Optical Engineering Conferences held July 2016, 2016, Changchun, China

Abstract

To improve the adaptive optics (AO) image’s quality, we study the AO image restoration algorithm based on wavefront reconstruction technology and adaptive total variation (TV) method in this paper. Firstly, the wavefront reconstruction using Zernike polynomial is used for initial estimated for the point spread function (PSF). Then, we develop our proposed iterative solutions for AO images restoration, addressing the joint deconvolution issue. The image restoration experiments are performed to verify the image restoration effect of our proposed algorithm. The experimental results show that, compared with the RL-IBD algorithm and Wiener-IBD algorithm, we can see that GMG measures (for real AO image) from our algorithm are increased by 36.92%, and 27.44% respectively, and the computation time are decreased by 7.2%, and 3.4% respectively, and its estimation accuracy is significantly improved.

Citation Download Citation

Dongming Li, Lijuan Zhang, Ting Wang, Huan Liu, Jinhua Yang, and Guifen Chen "Adaptive optics image restoration algorithm based on wavefront reconstruction and adaptive total variation method", Proc. SPIE 10141, Selected Papers of the Chinese Society for Optical Engineering Conferences held July 2016, 101410Z (7 November 2016); https://doi.org/10.1117/12.2249974

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