High-speed holographic imaging using compressed sensing and phase retrieval

Zihao Wang*, Donghun Ryu, Kuan He, Roarke Horstmeyer, Aggelos K Katsaggelos, Oliver Strides Cossairt

*Corresponding author for this work

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

Abstract

Digital in-line holography serves as a useful encoder for spatial information. This allows three-dimensional reconstruction from a two-dimensional image. This is applicable to the tasks of fast motion capture, particle tracking etc. Sampling high resolution holograms yields a spatiotemporal tradeoff. We spatially subsample holograms to increase temporal resolution. We demonstrate this idea with two subsampling techniques, periodic and uniformly random sampling. The implementation includes an on-chip setup for periodic subsampling and a DMD (Digital Micromirror Device) -based setup for pixel-wise random subsampling. The on-chip setup enables direct increase of up to 20 in camera frame rate. Alternatively, the DMD-based setup encodes temporal information as high-speed mask patterns, and projects these masks within a single exposure (coded exposure). This way, the frame rate is improved to the level of the DMD with a temporal gain of 10. The reconstruction of subsampled data using the aforementioned setups is achieved in two ways. We examine and compare two iterative reconstruction methods. One is an error reduction phase retrieval and the other is sparsity-based compressed sensing algorithm. Both methods show strong capability of reconstructing complex object fields. We present both simulations and real experiments. In the lab, we image and reconstruct structure and movement of static polystyrene microspheres, microscopic moving peranema, macroscopic fast moving fur and glitters.

Original languageEnglish (US)
Title of host publicationComputational Imaging II
EditorsAmit Ashok, Lei Tian, Abhijit Mahalanobis, Jonathan C. Petruccelli, Kenneth S. Kubala
PublisherSPIE
ISBN (Electronic)9781510609457
DOIs
StatePublished - 2017
EventComputational Imaging II 2017 - Anaheim, United States
Duration: Apr 9 2017Apr 10 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10222
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherComputational Imaging II 2017
CountryUnited States
CityAnaheim
Period4/9/174/10/17

Keywords

  • compressed sensing
  • digital holography
  • high-speed imaging
  • phase retrieval

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'High-speed holographic imaging using compressed sensing and phase retrieval'. Together they form a unique fingerprint.

  • Cite this

    Wang, Z., Ryu, D., He, K., Horstmeyer, R., Katsaggelos, A. K., & Cossairt, O. S. (2017). High-speed holographic imaging using compressed sensing and phase retrieval. In A. Ashok, L. Tian, A. Mahalanobis, J. C. Petruccelli, & K. S. Kubala (Eds.), Computational Imaging II [102220G] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10222). SPIE. https://doi.org/10.1117/12.2262737