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Proceedings Paper

Comparison of classical and multiscale spatially adaptive filters for the restoration of images degraded by atmospheric turbulence
Author(s): Christine Bondeau; El-Bay Bourennane
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Paper Abstract

This paper deals with the restoration of images designed by the atmospheric turbulence. 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 value of the Fried parameter r0, which characterizes the turbulence strength. Knowing r0 allows us to estimate the turbulence transfer function. The image can then be processed by means of a classical deconvolution filter. We compare the results obtained with the standard Wiener filter and an improved Wiener filter to those obtained through the use of a multiscale spatially adaptive filter. As expected, this last type of filtering gives better result. The degraded test image has been obtained by turbulent wavefront simulation.

Paper Details

Date Published: 1 October 1998
PDF: 6 pages
Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323234
Show Author Affiliations
Christine Bondeau, Univ. de Bourgogne (France)
El-Bay Bourennane, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 3460:
Applications of Digital Image Processing XXI
Andrew G. Tescher, Editor(s)

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