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Research on a novel restoration algorithm of turbulence-degraded images with alternant iterations

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3 Author(s)
Liu Chunsheng ; Inst. for Pattern Recognition and AI, State Key Laboratory of Image Processing and Intelligent Control, Huazhong Univ. of Science and Technology, Wuhan 430074, P. R. China ; Hong Hanyu ; Zhang Tianxu

A new restoration algorithm based on double loops and alternant iterations is proposed to restore the object image effectively from a few frames of turbulence-degraded images. Based on the double loops, the iterative relations for estimating the turbulent point spread function PSF and object image alternately are derived. The restoration experiments have been made on computers, showing that the proposed algorithm can obtain the optimal estimations of the object and the point spread function, with the feasibility and practicality of the proposed algorithm being convincing.

Published in:

Journal of Systems Engineering and Electronics  (Volume:17 ,  Issue: 3 )