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Proceedings Paper

Image restoration from sequences under atmospheric turbulence effects
Author(s): Junshan Li; Jiao Zhang; Zhongshan Sui
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Paper Abstract

Turbulence makes the image suffer from geometric distortion, pixel deviation and blur. This paper focuses on image restoration under atmospheric turbulence. To improve the image quality, we revisit the problem by a two-phase method. According to the distortion model analysis, we first combine affine transformation with non-rigid registration to suppress global motion and local pixel deviation. To improve the registration speed, the cost function is optimized by L-BFGS algorithm. Next, a multi-frame blind deconvolution algorithm is employed to restore the registered frames, and get a final output. The experimental results clearly demonstrate the effectiveness of the proposed method. It can effectively alleviate blur and distortions, improve visual quality and recovery speed significantly.

Paper Details

Date Published: 24 October 2017
PDF: 8 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625G (24 October 2017); doi: 10.1117/12.2285835
Show Author Affiliations
Junshan Li, Xi’an Research Institute of High Technology (China)
Guangdong Univ. (China)
Jiao Zhang, Xi’an Research Institute of High Technology (China)
Zhongshan Sui, Xi’an Research Institute of High Technology (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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