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Proceedings Paper

Restoration of images distorted by the atmosphere based on searching for Fried parameter
Author(s): Shu-Hai Chen; Guofu Zhu; Hua Chen; Bin An; Bao Hui Wang; Bao Hong Feng
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Paper 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.

Paper Details

Date Published: 6 July 1998
PDF: 10 pages
Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); doi: 10.1117/12.316424
Show Author Affiliations
Shu-Hai Chen, Northwest Institute of Nuclear Technology (China)
Guofu Zhu, Northwest Institute of Nuclear Technology (China)
Hua Chen, Northwest Institute of Nuclear Technology (China)
Bin An, Northwest Institute of Nuclear Technology (China)
Bao Hui Wang, Northwest Institute of Nuclear Technology (China)
Bao Hong Feng, Northwest Institute of Nuclear Technology (China)


Published in SPIE Proceedings Vol. 3387:
Visual Information Processing VII
Stephen K. Park; Richard D. Juday, Editor(s)

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