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Blind image deconvolution with spatially adaptive total variation regularization |
Optics Letters, Vol. 37, Issue 14, pp. 2778-2780 (2012)
http://dx.doi.org/10.1364/OL.37.002778
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Abstract
A blind deconvolution algorithm with spatially adaptive total variation regularization is introduced. The spatial information in different image regions is incorporated into regularization by using the edge indicator called difference eigenvalue to distinguish edges from flat areas. The proposed algorithm can effectively reduce the noise in flat regions as well as preserve the edge and detailed information. Moreover, it becomes more robust with the change of the regularization parameter. Comparative results on simulated and real degraded images are reported.
© 2012 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: April 4, 2012
Revised Manuscript: May 6, 2012
Manuscript Accepted: May 6, 2012
Published: June 29, 2012
Citation
Luxin Yan, Houzhang Fang, and Sheng Zhong, "Blind image deconvolution with spatially adaptive total variation regularization," Opt. Lett. 37, 2778-2780 (2012)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-37-14-2778
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