Pulse-Stream Models in Time-of-Flight Imaging
Adrien Besson, Dimitris Perdios, Yves Wiaux, Jean-Philippe Thiran
Abstract
This paper considers the problem of reconstructing raw signals from random projections in the context of time-of-flight imaging with an array of sensors. It presents a new signal model, coined as multi-channel pulse-stream model, which exploits pulse-stream models and accounts for additional structure induced by inter-sensor dependencies. We propose a sampling theorem and a reconstruction algorithm, based on ℓ -minimization, for signals belonging to such a model. We demonstrate the benefits of the proposed approach by means of numerical simulations and on a real non-destructive-evaluation application where the peak-signal-to-noise-ratio is increased by 3 dB compared to standard compressed-sensing strategies.
BibTeX
@inproceedings{icassp2018_pulsestreammodel,
title = {Pulse-Stream Models in Time-of-Flight Imaging},
author = {Adrien Besson and Dimitris Perdios and Yves Wiaux and Jean-Philippe Thiran},
booktitle = {ICASSP 2018},
year = {2018}
}