Restoration of images degraded by the atmospheric turbulence

Author

Bondeau, Christine ; Bourennane, Elbay

Author_Institution

Lab. d´´Electron., d´´Inf. et d´´Image, Bourgogne Univ., Dijon, France

Volume

2

fYear

1998

fDate

1998

Firstpage

1056

Abstract

Atmospheric turbulence imposes a strong limit for observation on long propagation paths. For standard video frequencies, the image of a distant object observed through turbulence is blurred. The degradation extent depends on the turbulence strength, which is characterized by the value of the Fried parameter r₀. Knowing r₀ allows us to estimate the turbulence transfer function. The image can then be processed by means of a classical deconvolution filter. Here, the results obtained with Wiener-type filters are compared to those obtained through the use of a multiscale spatially adaptive filter. The degraded test image is obtained by numerical turbulent wavefront simulation

Keywords

Wiener filters; atmospheric turbulence; computer vision; deconvolution; filtering theory; image restoration; numerical analysis; transfer functions; Wiener-type filters; atmospheric turbulence; deconvolution filter; degraded test image; image blurring; image restoration; long propagation paths; multiscale spatially adaptive filter; numerical turbulent wavefront simulation; observation; turbulence transfer function; video frequencies; Adaptive optics; Atmospheric modeling; Deconvolution; Degradation; Fluctuations; Image restoration; Optical distortion; Optical filters; Optical refraction; Wiener filter;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770797

Filename

770797