Simulation of the atmospheric turbulence image reconstruction based on compressed sensing

Dong Li; Hongzhen Jiang; Yong Liu; Xu Liu

doi:10.1117/12.2073338

24 November 2014 Simulation of the atmospheric turbulence image reconstruction based on compressed sensing

Dong Li, Hongzhen Jiang, Yong Liu, Xu Liu

Proceedings Volume 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition; 93013J (2014) https://doi.org/10.1117/12.2073338
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

Abstract

For long distance imaging in the atmosphere environment, the image quality is affected by the atmospheric turbulence. In this paper, the image quality is analyzed, while the atmospheric turbulence is simulated through the spectrum inversion method of the Fourier transform. The target images affected by both weak and strong atmospheric turbulence environments are reconstructed respectively, employing the compressed sensing algorithm. Results show that the compressed sensing algorithm inhibits the atmospheric turbulence effect to some extent, but not that brilliant in the strong turbulence conditions. Outstanding performance of the compressed sensing algorithm in image noise reduction is also confirmed.

Citation Download Citation

Dong Li, Hongzhen Jiang, Yong Liu, and Xu Liu "Simulation of the atmospheric turbulence image reconstruction based on compressed sensing", Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93013J (24 November 2014); https://doi.org/10.1117/12.2073338

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