Bicoherence: a new lucky region technique in anisoplanatic image restoration
Applied Optics, Vol. 48, Issue 32, pp. 6111-6119 (2009)
http://dx.doi.org/10.1364/AO.48.006111
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Abstract
A novel algorithm is proposed to predict “lucky” regions in a sequence of long-range camera images affected by atmospheric turbulence. Our new approach is to employ bicoherence as a measure of quality to determine lucky regions or good quality image patches from a recorded sequence of anisoplanatic images. The better-quality image regions are selected according to the magnitude of the average value of the bicoherence of each region. Each image patch is restored using bispectral phase estimation from lucky regions, before mosaicing to an overall restoration. Bicoherence can also be used to predict lucky images in the isoplanatic case. Experiments show that our algorithm performs well with both simulated and naturally degraded data.
© 2009 Optical Society of America
OCIS Codes
(010.0010) Atmospheric and oceanic optics : Atmospheric and oceanic optics
(010.1330) Atmospheric and oceanic optics : Atmospheric turbulence
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration
ToC Category:
Image Processing
History
Original Manuscript: July 16, 2009
Manuscript Accepted: September 18, 2009
Published: November 2, 2009
Citation
Zhiying Wen, Donald Fraser, and Andrew Lambert, "Bicoherence: a new lucky region technique in anisoplanatic image restoration," Appl. Opt. 48, 6111-6119 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-32-6111
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