title: Cramer-Rao bound and phase-diversity blind deconvolution performance versus diversity polynomials.
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 approximately 2 for unknown objects.
authors.affiliation: Boeing Company, 6633 Canoga Avenue, MS WB63, P.O. Box 7922, Canoga Park, California 91309, USA. jean.j.dolne@boeing.com
authors.forename: Jean J
authors.initials: JJ
authors.lastname: Dolne
authors.forename: Harold B
authors.initials: HB
authors.lastname: Schall