Blind deconvolution: multiplicative iterative algorithm
Optics Letters, Vol. 33, Issue 1, pp. 25-27 (2008)
http://dx.doi.org/10.1364/OL.33.000025
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Abstract
A new algorithm has been developed for performing blind deconvolution on degraded images. The algorithm naturally preserves the nonnegative constraint on the iterative solutions of blind deconvolution and can produce a restored image of high resolution. Furthermore, benefiting from the multiplicative form, the algorithm is free from the instability of numerical computation. Results of applying the algorithm to simulated and real degraded images are reported.
© 2008 Optical Society of America
OCIS Codes
(100.1830) Image processing : Deconvolution
(100.2000) Image processing : Digital image processing
(100.3020) Image processing : Image reconstruction-restoration
(100.1455) Image processing : Blind deconvolution
ToC Category:
Image Processing
History
Original Manuscript: September 10, 2007
Revised Manuscript: October 29, 2007
Manuscript Accepted: November 1, 2007
Published: December 18, 2007
Citation
Jianlin Zhang, Qiheng Zhang, and Guangming He, "Blind deconvolution: multiplicative iterative algorithm," Opt. Lett. 33, 25-27 (2008)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-33-1-25
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