Cramer-Rao bound and phase-diversity blind deconvolution performance versus diversity polynomials
Applied Optics, Vol. 44, Issue 29, pp. 6220-6227 (2005)
http://dx.doi.org/10.1364/AO.44.006220
Acrobat PDF (1018 KB)
Abstract
Information theoretic bounds on the estimated Zernike coefficients for various diversity phase functions are presented. We show that, in certain cases, defocus diversity may yield a higher Cramer-Rao lower bound (CRLB) than some other diversity phase functions. Using simulated images to evaluate the performance of the phase-diversity algorithm, we find that, for an extended scene and defocus diversity, the phase-diversity algorithm achieves the CRLB for known objects. Furthermore, the phase-diversity algorithm achieves the CRLB by a factor of ∼2 for unknown objects.
© 2005 Optical Society of America
OCIS Codes
(030.0030) Coherence and statistical optics : Coherence and statistical optics
(100.0100) Image processing : Image processing
(100.1830) Image processing : Deconvolution
(100.3010) Image processing : Image reconstruction techniques
(100.3020) Image processing : Image reconstruction-restoration
(110.0110) Imaging systems : Imaging systems
ToC Category:
Image Processing
Citation
Jean J. Dolne and Harold B. Schall, "Cramer-Rao bound and phase-diversity blind deconvolution performance versus diversity polynomials," Appl. Opt. 44, 6220-6227 (2005)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-44-29-6220
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