1 October 1998 Comparison of classical and multiscale spatially adaptive filters for the restoration of images degraded by atmospheric turbulence
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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.
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Christine Bondeau, El-Bay Bourennane, "Comparison of classical and multiscale spatially adaptive filters for the restoration of images degraded by atmospheric turbulence", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998); doi: 10.1117/12.323234; https://doi.org/10.1117/12.323234
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