Image restoration of multiple noisy images by use of a priori knowledge of the anisoplanatic point-spread function

We propose and simulate an iterative maximum-likelihood image reconstruction method that uses multiple images taken through the turbulent atmosphere under photon-limited conditions. The method assumes that the point-spread function corresponding to each image has been measured by a guide star or oth...

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Veröffentlicht in:Optics letters 1998-01, Vol.23 (2), p.83-85
Hauptverfasser: Gerwe, D R, Plonus, M A
Format: Artikel
Sprache:eng
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Zusammenfassung:We propose and simulate an iterative maximum-likelihood image reconstruction method that uses multiple images taken through the turbulent atmosphere under photon-limited conditions. The method assumes that the point-spread function corresponding to each image has been measured by a guide star or other technique. Although a guide star is still required, wave-front correction is achieved through postprocessing instead of by the mechanical methods currently used with adaptive optics. A restored image of greatly increased quality was found to be produced after only 10 iterations. Additional iterations continued to reduce the mean-square error.
ISSN:0146-9592
1539-4794
DOI:10.1364/OL.23.000083