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

doi:10.1016/S1004-4132(06)60082-0

Abstract

Abstract:

A new restoration algorithm based on double loops and alternant iterations is proposed to restore the ob

ject image effectively from a few frames of turbulence-degraded images. Based on the double loops, the iterative re

lations for estimating the turbulent point spread function PSF and object image alternately are derived. The restora

tion experiments have been made on computers, showing that the proposed algorithm can obtain the optimal estima

tions of the object and the point spread function, with the feasibility and practicality of the proposed algorithm being

convincing.

Key words:

turbulence-degraded image, image restoratioN, double loops, alternant iterations

Liu Chunsheng, Hong Hanyu & Zhang Tianxu.

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

[J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 477-482.

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

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