Binary image restoration by positive semidefinite programming
Optics Letters, Vol. 32, Issue 2, pp. 121-123 (2007)
http://dx.doi.org/10.1364/OL.32.000121
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Abstract
We report an optimization approach to restore degraded binary images by using positive semidefinite programming when the point spread function (PSF) is known. The approach takes advantage of the combinatorial nature of the problem, considering not only local similarity and spatial context but also the relationship between individual pixel values and the PSF. Numerical experiments confirm the superiority of the approach.
© 2006 Optical Society of America
OCIS Codes
(100.0100) Image processing : Image processing
(100.3020) Image processing : Image reconstruction-restoration
ToC Category:
Image Processing
History
Original Manuscript: September 1, 2006
Revised Manuscript: October 13, 2006
Manuscript Accepted: October 13, 2006
Published: December 23, 2006
Citation
Yijiang Shen, Edmund Y. Lam, and Ngai Wong, "Binary image restoration by positive semidefinite programming," Opt. Lett. 32, 121-123 (2007)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-32-2-121
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