14 November 2007 Adaptive optics image deconvolution based on a modified Richardson-Lucy algorithm
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Proceedings Volume 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 672218 (2007) https://doi.org/10.1117/12.782964
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China
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.
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Bo Chen, Bo Chen, Ze-xun Geng, Ze-xun Geng, Xiao-dong Yan, Xiao-dong Yan, Yang Yang, Yang Yang, Xue-lian Sui, Xue-lian Sui, Zhen-lei Zhao, Zhen-lei Zhao, } "Adaptive optics image deconvolution based on a modified Richardson-Lucy algorithm", 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; https://doi.org/10.1117/12.782964
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