Multi-limit unsymmetrical MLIBD image restoration algorithm

Yang Yang; Yiping Cheng; Zai-wang Chen; Chen Bo

doi:10.1117/12.2000439

26 November 2012 Multi-limit unsymmetrical MLIBD image restoration algorithm

Yang Yang, Yiping Cheng, Zai-wang Chen, Chen Bo

Proceedings Volume 8557, Optical Design and Testing V; 855721 (2012) https://doi.org/10.1117/12.2000439
Event: Photonics Asia, 2012, Beijing, China

Abstract

A novel multi-limit unsymmetrical iterative blind deconvolution(MLIBD) algorithm was presented to enhance the performance of adaptive optics image restoration.The algorithm enhances the reliability of iterative blind deconvolution by introducing the bandwidth limit into the frequency domain of point spread(PSF),and adopts the PSF dynamic support region estimation to improve the convergence speed.The unsymmetrical factor is automatically computed to advance its adaptivity.Image deconvolution comparing experiments between Richardson-Lucy IBD and MLIBD were done,and the result indicates that the iteration number is reduced by 22.4% and the peak signal-to-noise ratio is improved by 10.18dB with MLIBD method. The performance of MLIBD algorithm is outstanding in the images restoration the FK5-857 adaptive optics and the double-star adaptive optics.

Citation Download Citation

Yang Yang, Yiping Cheng, Zai-wang Chen, and Chen Bo "Multi-limit unsymmetrical MLIBD image restoration algorithm", Proc. SPIE 8557, Optical Design and Testing V, 855721 (26 November 2012); https://doi.org/10.1117/12.2000439

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