TY - GEN
T1 - High-speed holographic imaging using compressed sensing and phase retrieval
AU - Wang, Zihao
AU - Ryu, Donghun
AU - He, Kuan
AU - Horstmeyer, Roarke
AU - Katsaggelos, Aggelos K
AU - Cossairt, Oliver Strides
N1 - Funding Information:
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.
Publisher Copyright:
© 2017 SPIE.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - compressed sensing
KW - digital holography
KW - high-speed imaging
KW - phase retrieval
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U2 - 10.1117/12.2262737
DO - 10.1117/12.2262737
M3 - Conference contribution
AN - SCOPUS:85022344263
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Computational Imaging II
A2 - Ashok, Amit
A2 - Tian, Lei
A2 - Mahalanobis, Abhijit
A2 - Petruccelli, Jonathan C.
A2 - Kubala, Kenneth S.
PB - SPIE
T2 - Computational Imaging II 2017
Y2 - 9 April 2017 through 10 April 2017
ER -