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Proceedings Paper

Simulation of the atmospheric turbulence image reconstruction based on compressed sensing
Author(s): Dong Li; Hongzhen Jiang; Yong Liu; Xu Liu
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Paper 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.

Paper Details

Date Published: 24 November 2014
PDF: 6 pages
Proc. SPIE 9301, International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition, 93013J (24 November 2014); doi: 10.1117/12.2073338
Show Author Affiliations
Dong Li, China Academy of Engineering Physics (China)
Hongzhen Jiang, China Academy of Engineering Physics (China)
Yong Liu, China Academy of Engineering Physics (China)
Xu Liu, China Academy of Engineering Physics (China)


Published in SPIE Proceedings Vol. 9301:
International Symposium on Optoelectronic Technology and Application 2014: Image Processing and Pattern Recognition
Gaurav Sharma; Fugen Zhou; Jennifer Liu, Editor(s)

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