Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium

Antoine Liutkus 1, 2 David Martina 3, 1 Sébastien Popoff 1 Gilles Chardon 4, 1 Ori Katz 3, 1 Geoffroy Lerosey 1 Sylvain Gigan 3, 1 Laurent Daudet 1 Igor Carron 5
1 Institut Langevin ondes et images
2 PAROLE - Analysis, perception and recognition of speech
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
3 LKB (Lhomond) - Laboratoire Kastler Brossel
4 ARI - Acoustics Research Institute
5 Texas A&M University [College Station]
Abstract : The recent theory of compressive sensing leverages upon the structure of signals to acquire them with much fewer measurements than was previously thought necessary, and certainly well below the traditional Nyquist-Shannon sampling rate. However, most implementations developed to take advantage of this framework revolve around controlling the measurements with carefully engineered material or acquisition sequences. Instead, we use the natural randomness of wave propagation through multiply scattering media as an optimal and instantaneous compressive imaging mechanism. Waves reflected from an object are detected after propagation through a well-characterized complex medium. Each local measurement thus contains global information about the object, yielding a purely analog compressive sensing method. We experimentally demonstrate the effectiveness of the proposed approach for optical imaging by using a 300-micrometer thick layer of white paint as the compressive imaging device. Scattering media are thus promising candidates for designing efficient and compact compressive imagers.
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Submitted on : Friday, July 18, 2014 - 11:14:24 AM
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Antoine Liutkus, David Martina, Sébastien Popoff, Gilles Chardon, Ori Katz, et al.. Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium. Scientific Reports, Nature Publishing Group, 2014, 4, pp.14. ⟨10.1038/srep05552⟩. ⟨hal-01025647⟩

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