Photon-efficient super-resolution laser radar
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Author(s)
Shin, Dongeek
Shapiro, Jeffrey H
Goyal, Vivek K
Date Issued
August 2017
Journal
Wavelets and Sparsity XVII
Publisher
SPIE-Intl Soc Optical Eng
Citation
Shin, Dongeek, Jeffrey H. Shapiro. and Goyal, Vivek K. “Photon-Efficient Super-Resolution Laser Radar.” Edited by Yue M. Lu, Manos Papadakis, and Dimitri Van De Ville. Wavelets and Sparsity XVII (August 24, 2017).
Version
Final published version
Abstract
The resolution achieved in photon-efficient active optical range imaging systems can be low due to non-idealities such as propagation through a diffuse scattering medium. We propose a constrained optimization-based frame- work to address extremes in scarcity of photons and blurring by a forward imaging kernel. We provide two algorithms for the resulting inverse problem: a greedy algorithm, inspired by sparse pursuit algorithms; and a convex optimization heuristic that incorporates image total variation regularization. We demonstrate that our framework outperforms existing deconvolution imaging techniques in terms of peak signal-to-noise ratio. Since our proposed method is able to super-resolve depth features using small numbers of photon counts, it can be useful for observing fine-scale phenomena in remote sensing through a scattering medium and through-the-skin biomedical imaging applications.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1117/12.2273208
