Title :
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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770797
