Phase retrieval algorithm for turbulence-degraded image based on fractional Fourier transform

被引：0
|
作者：
Cao, Dong [1 ]
Jin, Gang [1 ,2 ]
An, Tao [2 ]
Liu, Lin-Yan [1 ]
机构：
[1] China Aerodynamics Research and Development Center, Mianyang, Sichuan 621000, China
[2] The Institute of Optics and Electronics, The Chinese Academy of Sciences, Chengdu 610209, China
来源：
Kongqi Donglixue Xuebao/Acta Aerodynamica Sinica | 2010年 / 28卷 / 04期
关键词：
Conjugate gradient method - Turbulence - Fourier transforms - Image reconstruction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
To suppress the aero-optics effect on object images, the fractional Fourier transform is applied to phase retrieval algorithm to restore turbulence-degraded images. The auto correlation is calculated from their Fractional Fourier transform magnitude, so object images could be reconstructed by de-autocorrelation algorithm. The current de-autocorrelation algorithm is improved by using the least-square conjugate gradient to solve the Gaussian-Newton equation in order to accelerate convergence. The experimental results show that the proposed algorithm is an effective method for turbulence-degraded images.
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收藏
页码：381 / 384
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