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Proceedings Paper

Adaptive optics image deconvolution based on a modified Richardson-Lucy algorithm
Author(s): Bo Chen; Ze-xun Geng; Xiao-dong Yan; Yang Yang; Xue-lian Sui; Zhen-lei Zhao
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Paper Abstract

Adaptive optical (AO) system provides a real-time compensation for atmospheric turbulence. However, the correction is often only partial, and a deconvolution is required for reaching the diffraction limit. The Richardson-Lucy (R-L) Algorithm is the technique most widely used for AO image deconvolution, but Standard R-L Algorithm (SRLA) is often puzzled by speckling phenomenon, wraparound artifact and noise problem. A Modified R-L Algorithm (MRLA) for AO image deconvolution is presented. This novel algorithm applies Magain's correct sampling approach and incorporating noise statistics to Standard R-L Algorithm. The alternant iterative method is applied to estimate PSF and object in the novel algorithm. Comparing experiments for indoor data and AO image are done with SRLA and the MRLA in this paper. Experimental results show that this novel MRLA outperforms the SRLA.

Paper Details

Date Published: 14 November 2007
PDF: 9 pages
Proc. SPIE 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 672218 (14 November 2007); doi: 10.1117/12.782964
Show Author Affiliations
Bo Chen, Information Engineering Univ. (China)
Guilin Air Force Academy (China)
Ze-xun Geng, Information Engineering Univ. (China)
Xiao-dong Yan, Information Engineering Univ. (China)
Yang Yang, Guilin Air Force Academy (China)
Xue-lian Sui, Information Engineering Univ. (China)
Zhen-lei Zhao, Information Engineering Univ. (China)


Published in SPIE Proceedings Vol. 6722:
3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies

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