Image restoration of multiple noisy images by use of a priori knowledge of the anisoplanatic point-spread function
Optics Letters, Vol. 23, Issue 2, pp. 83-85 (1998)
http://dx.doi.org/10.1364/OL.23.000083
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Abstract
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.
© 1998 Optical Society of America
[of America ]
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.3020) Image processing : Image reconstruction-restoration
Citation
D. R. Gerwe and M. A. Plonus, "Image restoration of multiple noisy images by use of a priori knowledge of the anisoplanatic point-spread function," Opt. Lett. 23, 83-85 (1998)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-23-2-83
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