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Conference Paper
Signal Recovery and Synthesis
Charlotte, North Carolina United States
June 6, 2005
ISBN: 1-55752-789-X
Image and Phase Restoration (SMC)

Regularization, Support Constraints, and Noise Reduction in Images -- A Cramér-Rao Bound Analysis

Charles L. Matson and Charles C. Beckner, Jr.

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Abstract

Support constraints can result in noise reduction inside the support of images reconstructed by algorithms that employ deconvolution. The effects of regularization on this noise reduction are analyzed using a Cramér-Rao lower bound approach.

© 2005 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.2980) Image processing : Image enhancement
(100.3020) Image processing : Image reconstruction-restoration

Citation
C. L. Matson and C. C. Beckner, Jr., " Regularization, Support Constraints, and Noise Reduction in Images -- A Cramér-Rao Bound Analysis," in Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM, Technical Digest (Optical Society of America, 2005), paper SMC2.
http://www.opticsinfobase.org/abstract.cfm?URI=SRS-2005-SMC2


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