Restoration algorithm of heavy turbulence degraded image for space target based on regularization

Liang-liang Wang; Zhi-wei Tao; Ming Li; Xin Gao

doi:10.1117/12.899877

15 August 2011 Restoration algorithm of heavy turbulence degraded image for space target based on regularization

Liang-liang Wang, Zhi-wei Tao, Ming Li, Xin Gao

Proceedings Volume 8196, International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications; 81960P (2011) https://doi.org/10.1117/12.899877
Event: International Symposium on Photoelectronic Detection and Imaging 2011, 2011, Beijing, China

Abstract

Restoration of atmospheric turbulence-degraded image is needed to be solved as soon as possible in the field of astronomical space technology. This paper discusses the issue of regularization during the restoration process, a new restoration method of heavy turbulence-degrade image for space target based on regularization is proposed, in which the anisotropic, nonlinear Step-like and Gussian-like regularization models are adopted according to the properties of turbulence point spread function(PSF)and image. The nonlinear regularization functions are suggested to smooth in the process of estimating the PSF and recover the object image. In order to test the validity of the method, a series of restoration experiments are performed on the heavy turbulence-degraded images for space target and the experiment results show that the method is effective to restore the space object from their heavy turbulence-degraded images. Besides, the definition measures and relative definition measures show that the new method is better than the traditional method for restoration result.

Citation Download Citation

Liang-liang Wang, Zhi-wei Tao, Ming Li, and Xin Gao "Restoration algorithm of heavy turbulence degraded image for space target based on regularization", Proc. SPIE 8196, International Symposium on Photoelectronic Detection and Imaging 2011: Space Exploration Technologies and Applications, 81960P (15 August 2011); https://doi.org/10.1117/12.899877

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KEYWORDS

Image restoration

Turbulence

Image processing

Point spread functions

Detection and tracking algorithms

Aerospace engineering

Atmospheric modeling

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