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Regularization, support constraints, and noise reduction in images – a Cramér-Rao bound analysis
- Source :
- Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM.
- Publication Year :
- 2005
- Publisher :
- Optica Publishing Group, 2005.
-
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.
- Subjects :
- business.industry
Noise reduction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
Image processing
Statistics::Other Statistics
Upper and lower bounds
Regularization (mathematics)
Median filter
ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS
Artificial intelligence
Deconvolution
business
Cramér–Rao bound
Algorithm
Image restoration
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Adaptive Optics: Analysis and Methods/Computational Optical Sensing and Imaging/Information Photonics/Signal Recovery and Synthesis Topical Meetings on CD-ROM
- Accession number :
- edsair.doi...........68c85c069d5f63f97a953204f10bd535