RESTORATION OF IMAGES DEGRADED BY ATMOSPHERIC-TURBULENCE BY A LEAST-SQUARES METHOD AND A MARKOV PROCESS

Authors
GRANIER B FIGUE J REFREGIER P
Citation
B. Granier et al., RESTORATION OF IMAGES DEGRADED BY ATMOSPHERIC-TURBULENCE BY A LEAST-SQUARES METHOD AND A MARKOV PROCESS, Optics letters, 21(6), 1996, pp. 423-425
Citations number
9
Categorie Soggetti
Optics
Journal title
Optics letters → ACNP
ISSN journal
01469592
Volume
21
Issue
6
Year of publication
1996
Pages
423 - 425
Database
ISI
SICI code
0146-9592(1996)21:6<423:ROIDBA>2.0.ZU;2-Y
Abstract
We present a two-step deconvolution method for restoring images degrad ed by atmospheric turbulence. The first step is linear space-invariant filtering, and the second step is a nonhomogeneous Markov process. Th is nonhomogeneous method preserves the discontinuities of the original image better than the homogeneous method does. (C) 1996 Optical Socie ty of America