Liutkus Antoine, Martina David, Popoff Sébastien, Chardon Gilles, Katz Ori, Lerosey Geoffroy, Gigan Sylvain, Daudet Laurent, Carron Igor
1] Institut Langevin, ESPCI ParisTech, Paris Diderot Univ., UPMC Univ. Paris 6, CNRS UMR 7587, Paris, France [2] Inria, CNRS, Loria UMR 7503 Villers-lès-Nancy, France.
1] Institut Langevin, ESPCI ParisTech, Paris Diderot Univ., UPMC Univ. Paris 6, CNRS UMR 7587, Paris, France [2] Laboratoire Kastler-Brossel, UMR8552 CNRS, Ecole Normale Supérieure, Univ. Paris 6, Collège de France, 24 rue Lhomond, 75005 PARIS.
Sci Rep. 2014 Jul 9;4:5552. doi: 10.1038/srep05552.
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.
最近的压缩感知理论利用信号结构,以比之前认为所需数量少得多的测量来获取信号,而且肯定远低于传统的奈奎斯特 - 香农采样率。然而,为利用此框架而开发的大多数实现方式都围绕着通过精心设计的材料或采集序列来控制测量。相反,我们将波在多重散射介质中传播的自然随机性用作一种最优且即时的压缩成像机制。从物体反射的波在通过一个特征明确的复杂介质传播后被检测到。因此,每个局部测量都包含关于物体的全局信息,从而产生一种纯模拟的压缩感知方法。我们通过使用一层300微米厚的白色油漆作为压缩成像装置,通过实验证明了所提出的光学成像方法的有效性。因此,散射介质是设计高效紧凑压缩成像仪的有前景的候选材料。