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High-speed holographic imaging using compressed sensing and phase retrieval

Publication ,  Conference
Wang, Z; Ryu, D; He, K; Horstmeyer, R; Katsaggelos, A; Cossairt, O
Published in: Proceedings of SPIE - The International Society for Optical Engineering
January 1, 2017

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.

Duke Scholars

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

EISSN

1996-756X

ISSN

0277-786X

Publication Date

January 1, 2017

Volume

10222

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
 

Citation

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Wang, Z., Ryu, D., He, K., Horstmeyer, R., Katsaggelos, A., & Cossairt, O. (2017). High-speed holographic imaging using compressed sensing and phase retrieval. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 10222). https://doi.org/10.1117/12.2262737
Wang, Z., D. Ryu, K. He, R. Horstmeyer, A. Katsaggelos, and O. Cossairt. “High-speed holographic imaging using compressed sensing and phase retrieval.” In Proceedings of SPIE - The International Society for Optical Engineering, Vol. 10222, 2017. https://doi.org/10.1117/12.2262737.
Wang Z, Ryu D, He K, Horstmeyer R, Katsaggelos A, Cossairt O. High-speed holographic imaging using compressed sensing and phase retrieval. In: Proceedings of SPIE - The International Society for Optical Engineering. 2017.
Wang, Z., et al. “High-speed holographic imaging using compressed sensing and phase retrieval.” Proceedings of SPIE - The International Society for Optical Engineering, vol. 10222, 2017. Scopus, doi:10.1117/12.2262737.
Wang Z, Ryu D, He K, Horstmeyer R, Katsaggelos A, Cossairt O. High-speed holographic imaging using compressed sensing and phase retrieval. Proceedings of SPIE - The International Society for Optical Engineering. 2017.

Published In

Proceedings of SPIE - The International Society for Optical Engineering

DOI

EISSN

1996-756X

ISSN

0277-786X

Publication Date

January 1, 2017

Volume

10222

Related Subject Headings

  • 5102 Atomic, molecular and optical physics
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering