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
Full Article | PDF ArticleMore Like This
Junliu Fan, Quanying Wu, Zhiyi Lu, Xunwu Li, and Baohua Chen
Appl. Opt. 56(9) 2563-2567 (2017)
David J. Lee, Michael C. Roggemann, and Byron M. Welsh
J. Opt. Soc. Am. A 16(5) 1005-1015 (1999)
Bruce H. Dean and Charles W. Bowers
J. Opt. Soc. Am. A 20(8) 1490-1504 (2003)