Restoration of images distorted by the atmosphere, based on searching for Fried parameter

被引：1

作者：

Chen, SH ^{[1
]}

Zhu, GF ^{[1
]}

Chen, H ^{[1
]}

An, B ^{[1
]}

Wang, BH ^{[1
]}

Feng, BH ^{[1
]}

机构：

[1] NW Inst Nucl Technol, Xian 710024, Peoples R China

来源：

VISUAL INFORMATION PROCESSING VII | 1998年 / 3387卷

关键词：

image restoration; atmospheric modulation transfer function; turbulence; point spread function (PSF); Wiener filter; power spectral;

D O I：

10.1117/12.316424

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 r(0) in expression of [H]. The identification of r(0) 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 r(0) 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.

引用

页码：341 / 350

页数：10