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
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.
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