Paper
6 July 1998 Restoration of images distorted by the atmosphere based on searching for Fried parameter
Shu-Hai Chen, Guofu Zhu, Hua Chen, Bin An, Bao Hui Wang, Bao Hong Feng
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Abstract
A new method of restoration of images distorted by atmosphere is presented in this paper. In imaging through the atmosphere, the system MTF can be decomposed into the sum of its mean, <H>, and random component, (Delta) H. This technique is based on identification of Fried parameter ro in expression of <H>. The identification of ro is based on the facts: 1, Deterministic component, <H>, including average turbulence MTF and aerosol MTF, is located at low frequency areas in the frequency domain. 2, The shape of <H> can be analytically determined according to Fried theory. 3, <H> has the same zero-cross point as the image degraded by this <H>. A corrected ro can result in a good restoration result. This is due to the main contribution on blur is <H>, while the random MTF, (Delta) H, can be removed by Wiener filter.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shu-Hai Chen, Guofu Zhu, Hua Chen, Bin An, Bao Hui Wang, and Bao Hong Feng "Restoration of images distorted by the atmosphere based on searching for Fried parameter", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316424
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Cited by 1 scholarly publication.
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KEYWORDS
Modulation transfer functions

Atmospheric modeling

Point spread functions

Atmospheric optics

Turbulence

Telescopes

Atmospheric particles

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