Achievability of Multi-Frame Blind Deconvolution Cramér-Rao Lower Bounds

Charles L. Matson; Charles C. Beckner; Michael Flanagan

doi:10.1364/SRS.2011.SMC2

Imaging and Applied Optics
OSA Technical Digest (CD) (Optica Publishing Group, 2011),
paper SMC2
•https://doi.org/10.1364/SRS.2011.SMC2

Achievability of Multi-Frame Blind Deconvolution Cramér-Rao Lower Bounds

Charles L. Matson, Charles C. Beckner, and Michael Flanagan

Signal Recovery and Synthesis 2011

Toronto Canada
10–14 July 2011
ISBN: 978-1-55752-914-5

From the session
Information Theory & Processing Time Considerations (SMC)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
C. L. Matson, C. C. Beckner, and M. Flanagan, "Achievability of Multi-Frame Blind Deconvolution Cramér-Rao Lower Bounds," in Imaging and Applied Optics, OSA Technical Digest (CD) (Optica Publishing Group, 2011), paper SMC2.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

The achievability of MFBD CRBs for both object and blurring functions using Fourier-domain metrics depend upon signal-to-noise ratios and the quality of the prior knowledge included in the reconstruction process.

PDF Article

More Like This

Evaluation of a multi-frame blind deconvolution algorithm using Cramer-Rao bounds

Charles C. Beckner and Charles L. Matson
SMB5 Signal Recovery and Synthesis (SRS) 2007

A Cramer-Rao Lower Bound Analysis Of Noise Reduction Limits In Blind Deconvolution For Zernike-Based Point- Spread-Function Estimation With The Use Of A Support Constraint

Charles L. Matson and Alim Haji
FWN5 Frontiers in Optics (FiO) 2006

Cramer-Rao Lower Bound for Passive and Active Imaging Systems

Jean Dolne
IWB4 Imaging Systems and Applications (IS) 2011

Previous Article Next Article