Recursive Algorithm for Phase Retrieval in the Fractional Fourier Transform Domain
Applied Optics, Vol. 37, Issue 29, pp. 6906-6910 (1998)
http://dx.doi.org/10.1364/AO.37.006906
Acrobat PDF (98 KB)
Abstract
We first discuss the discrete fractional Fourier transform and present some essential properties. We then propose a recursive algorithm to implement phase retrieval from two intensities in the fractional Fourier transform domain. This approach can significantly simplify computational manipulations and does not need an initial phase estimate compared with conventional iterative algorithms. Simulation results show that this approach can successfully recover the phase from two intensities.
© 1998 Optical Society of America
[Optical Society of America ]
OCIS Codes
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(090.0090) Holography : Holography
(100.5070) Image processing : Phase retrieval
Citation
Wen-Xiang Cong, Nan-Xian Chen, and Ben-Yuan Gu, "Recursive Algorithm for Phase Retrieval in the Fractional Fourier Transform Domain," Appl. Opt. 37, 6906-6910 (1998)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-37-29-6906
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Article level metrics are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription





OSA is a member of 