Abstract

Holography provides a means for indirect acquirement and reconstruction of 3-D object features. Here, we demonstrate high-resolution viewpoint object inference by formulating the object’s reconstruction in the framework of compressive sensing. Further, when the object is dominated by speckle noise and cannot be considered to be sparse, we propose a digital resampling diversity compressive sensing approach to reconstruct a high-quality viewpoint inferred object. The results can be used in all types of holography for display and research purposes.

© 2015 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Overview of compressive sensing techniques applied in holography [Invited]

Yair Rivenson, Adrian Stern, and Bahram Javidi
Appl. Opt. 52(1) A423-A432 (2013)

Improved depth resolution by single-exposure in-line compressive holography

Yair Rivenson, Adrian Stern, and Bahram Javidi
Appl. Opt. 52(1) A223-A231 (2013)

Reconstruction guarantees for compressive tomographic holography

Yair Rivenson, Adrian Stern, and Joseph Rosen
Opt. Lett. 38(14) 2509-2511 (2013)

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

Supplementary Material (2)

NameDescription
» Visualization 1: AVI (242 KB)      Standard viewpoint change algorithm
» Visualization 2: AVI (211 KB)      Proposed algorithm viewpoint change

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 (4)

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 (8)

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