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

Restoring atmospheric-turbulence-degraded images

Md. Hasan Furhad, Murat Tahtali, and Andrew Lambert
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Restoration of images degraded by atmospheric turbulence and detection noise

Xiaotian Shi and Rabab K. Ward
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Image Restoration by the Method of Least Squares

Carl W. Helstrom
J. Opt. Soc. Am. 57(3) 297-303 (1967)

Local image restoration by a least-squares method

Martin J. Lahart
J. Opt. Soc. Am. 69(10) 1333-1339 (1979)

Restoration of Turbulence-Degraded Images*

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J. Opt. Soc. Am. 57(3) 293-297 (1967)