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