Abstract

In the context of imaging using the Hanbury Brown–Twiss effect, this paper describes a phase retrieval algorithm capable of producing high-quality images despite large amounts of noise in the coherence magnitude measurement data. Previously the problem was conceived as two distinct steps: coherence magnitude estimation, followed by image construction. The present unified formulation accepts highly noisy data and estimates both the measurement noise and the image using the numerous constraints on the coherence data, the image, and their interrelations. The technique is shown to reduce the necessary imaging time by many orders of magnitude.

© 2015 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Analysis of noise-reducing phase retrieval

David C. Hyland
Appl. Opt. 55(13) 3493-3501 (2016)

Mitigating the effect of noise in the hybrid input–output method of phase retrieval

Russell Trahan and David Hyland
Appl. Opt. 52(13) 3031-3037 (2013)

Phase retrieval with complexity guidance

Mansi Butola, Sunaina Rajora, and Kedar Khare
J. Opt. Soc. Am. A 36(2) 202-211 (2019)

References

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
Login to access OSA Member Subscription

Cited By

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
Login to access OSA Member Subscription

Figures (12)

You do not have subscription access to this journal. Figure files 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
Login to access OSA Member Subscription

Equations (42)

You do not have subscription access to this journal. Equations 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
Login to access OSA Member Subscription

Metrics

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
Login to access OSA Member Subscription