Image restoration from sequences under atmospheric turbulence effects

Junshan Li; Jiao Zhang; Zhongshan Sui

doi:10.1117/12.2285835

24 October 2017 Image restoration from sequences under atmospheric turbulence effects

Junshan Li, Jiao Zhang, Zhongshan Sui

Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104625G (2017) https://doi.org/10.1117/12.2285835
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China

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.

Citation Download Citation

Junshan Li, Jiao Zhang, and Zhongshan Sui "Image restoration from sequences under atmospheric turbulence effects", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104625G (24 October 2017); https://doi.org/10.1117/12.2285835

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