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High-speed holographic imaging using compressed sensing and phase retrieval

Wang, Zihao and Ryu, Donghun and He, Kuan and Horstmeyer, Roarke and Katsaggelos, Aggelos and Cossairt, Oliver (2017) High-speed holographic imaging using compressed sensing and phase retrieval. In: Computational Imaging II. Proceedings of SPIE. No.10222. Society of Photo-Optical Instrumentation Engineers (SPIE) , Bellingham, WA, Art. No. 102220G. ISBN 9781510609457. https://resolver.caltech.edu/CaltechAUTHORS:20190828-143343380

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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.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1117/12.2262737DOIArticle
ORCID:
AuthorORCID
Wang, Zihao0000-0003-4162-7849
Horstmeyer, Roarke0000-0002-2480-9141
Additional Information:© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE). This work was supported in part by National Science Foundation (NSF) CAREER grant IIS-1453192; Office of Naval Research (ONR) grant 1(GG010550)//N00014-14-1-0741; Office of Naval Research (ONR) grant #N00014-15-1-2735 and DARPA award (G001534-7510)//HR0011-16-C-0028.
Funders:
Funding AgencyGrant Number
NSFIIS-1453192
Office of Naval Research (ONR)N00014-14-1-0741
Office of Naval Research (ONR)N00014-15-1-2735
Defense Advanced Research Projects Agency (DARPA)HR0011-16-C-0028
Subject Keywords:high-speed imaging, digital holography, compressed sensing, phase retrieval
Series Name:Proceedings of SPIE
Issue or Number:10222
Record Number:CaltechAUTHORS:20190828-143343380
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190828-143343380
Official Citation:Zihao Wang, Donghun Ryu, Kuan He, Roarke Horstmeyer, Aggelos Katsaggelos, and Oliver Cossairt "High-speed holographic imaging using compressed sensing and phase retrieval", Proc. SPIE 10222, Computational Imaging II, 102220G (1 May 2017); https://doi.org/10.1117/12.2262737
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:98322
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Aug 2019 21:53
Last Modified:03 Oct 2019 21:39

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