Compressive reconstruction for 3D incoherent holographic microscopy

Oliver Strides Cossairt, Kuan He, Ruibo Shang, Nathan Matsuda, Manoj Sharma, Xiang Huang, Aggelos K Katsaggelos, Leonidas Spinoulas, Seunghwan Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Incoherent holography has recently attracted significant research interest due to its flexibility for a wide variety of light sources. In this paper, we use compressive sensing to reconstruct a three-dimensional volumetric object from its two-dimensional Fresnel incoherent correlation hologram. We show how compressed sensing enables reconstruction without out-of-focus artifacts, when compared to conventional back-propagation recovery. Finally, we analyze the reconstruction guarantees of the proposed approach both numerically and theoretically and compare that with coherent holography.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PublisherIEEE Computer Society
Pages958-962
Number of pages5
ISBN (Electronic)9781467399616
DOIs
StatePublished - Aug 3 2016
Event23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, United States
Duration: Sep 25 2016Sep 28 2016

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2016-August
ISSN (Print)1522-4880

Other

Other23rd IEEE International Conference on Image Processing, ICIP 2016
CountryUnited States
CityPhoenix
Period9/25/169/28/16

Keywords

  • Compressive sensing
  • Incoherent holography
  • Inverse problems
  • Microscopy

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Cossairt, O. S., He, K., Shang, R., Matsuda, N., Sharma, M., Huang, X., Katsaggelos, A. K., Spinoulas, L., & Yoo, S. (2016). Compressive reconstruction for 3D incoherent holographic microscopy. In 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings (pp. 958-962). [7532499] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2016-August). IEEE Computer Society. https://doi.org/10.1109/ICIP.2016.7532499