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Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Vol. 21, Iss. 6 — Mar. 15, 1996
  • pp: 423–425

Restoration of images degraded by atmospheric turbulence by a least-squares method and a Markov process

B. Granier, J. Figue, and Ph. Réfrégier  »View Author Affiliations


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

History
Original Manuscript: July 26, 1995
Published: March 15, 1996

Citation
B. Granier, Ph. Réfrégier, and J. Figue, "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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References

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