Compressive Fresnel holography approach for high-resolution viewpoint inference

Yair Rivenson, Maya Aviv Shalev, Zeev Zalevsky

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


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.

Original languageEnglish
Pages (from-to)5606-5609
Number of pages4
JournalOptics Letters
Issue number23
StatePublished - 1 Dec 2015

Bibliographical note

Publisher Copyright:
© 2015 Optical Society of America.


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