Photon-efficient super-resolution laser radar

Dongeek Shin; Jeffrey H. Shapiro; Vivek K. Goyal

doi:10.1117/12.2273208

24 August 2017 Photon-efficient super-resolution laser radar

Dongeek Shin, Jeffrey H. Shapiro, Vivek K. Goyal

Proceedings Volume 10394, Wavelets and Sparsity XVII; 1039409 (2017) https://doi.org/10.1117/12.2273208
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

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.

Citation Download Citation

Dongeek Shin, Jeffrey H. Shapiro, and Vivek K. Goyal "Photon-efficient super-resolution laser radar", Proc. SPIE 10394, Wavelets and Sparsity XVII, 1039409 (24 August 2017); https://doi.org/10.1117/12.2273208

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