Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process
Optics Letters, Vol. 21, Issue 6, pp. 423-425 (1996)
http://dx.doi.org/10.1364/OL.21.000423
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Abstract
We present a two-step deconvolution method for restoring images degraded by atmospheric turbulence. The first step is linear space-invariant filtering, and the second step is a nonhomogeneous Markov process. This nonhomogeneous method preserves the discontinuities of the original image better than the homogeneous method does.
© 1996 Optical Society of America
Citation
B. Granier, J. Figue, and Ph. Réfrégier, "Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process," Opt. Lett. 21, 423-425 (1996)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-21-6-423
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