Regularizing active set method for nonnegatively constrained ill-posed multichannel image restoration problem
Applied Optics, Vol. 48, Issue 7, pp. 1389-1401 (2009)
http://dx.doi.org/10.1364/AO.48.001389
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Abstract
In this paper, we consider the nonnegatively constrained multichannel image deblurring problem and propose regularizing active set methods for numerical restoration. For image deblurring problems, it is reasonable to solve a regularizing model with nonnegativity constraints because of the physical meaning of the image. We consider a general regularizing
© 2009 Optical Society of America
OCIS Codes
(000.4430) General : Numerical approximation and analysis
(100.1830) Image processing : Deconvolution
(100.3020) Image processing : Image reconstruction-restoration
(100.3190) Image processing : Inverse problems
ToC Category:
Image Processing
History
Original Manuscript: October 9, 2008
Revised Manuscript: January 15, 2009
Manuscript Accepted: January 19, 2009
Published: February 25, 2009
Citation
Yanfei Wang, Jingjie Cao, Yaxiang Yuan, Changchun Yang, and Naihua Xiu, "Regularizing active set method for nonnegatively constrained ill-posed multichannel image restoration problem," Appl. Opt. 48, 1389-1401 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-7-1389
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