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Compact multiframe blind deconvolution |
Optics Letters, Vol. 36, Issue 6, pp. 867-869 (2011)
http://dx.doi.org/10.1364/OL.36.000867
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Abstract
We describe a multiframe blind deconvolution (MFBD) algorithm that uses spectral ratios (the ratio of the Fourier spectra of two data frames) to model the inherent temporal signatures encoded by the observed images. In addition, by focusing on the separation of the object spectrum and system transfer functions only at spatial frequencies where the measured signal is above the noise level, we significantly reduce the number of unknowns to be determined. This “compact” MFBD yields high-quality restorations in a much shorter time than is achieved with MFBD algorithms that do not model the temporal signatures; it may also provide higher-fidelity solutions.
© 2011 Optical Society of America
OCIS Codes
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems
(110.0115) Imaging systems : Imaging through turbulent media
(100.1455) Image processing : Blind deconvolution
ToC Category:
Image Processing
History
Original Manuscript: December 23, 2010
Manuscript Accepted: January 8, 2011
Published: March 9, 2011
Virtual Issues
Vol. 6, Iss. 4 Virtual Journal for Biomedical Optics
Citation
Douglas A. Hope and Stuart M. Jefferies, "Compact multiframe blind deconvolution," Opt. Lett. 36, 867-869 (2011)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=ol-36-6-867
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