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Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium

机译:自然成像:使用多重散射介质的压缩成像

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摘要

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.
机译:最新的压缩感测理论利用信号的结构以比以前认为必要的测量少得多的测量值来获取信号,并且肯定远低于传统的Nyquist-Shannon采样率。但是,开发来利用此框架的大多数实现都围绕着用精心设计的材料或采集序列控制测量。相反,我们将通过多重散射介质传播的自然随机性作为一种最佳的瞬时压缩成像机制。从物体反射的波在通过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有关对象的全局信息,从而产生了纯模拟的压缩感测方法。我们通过使用300微米厚的白色涂料层作为压缩成像设备,通过实验证明了所提出方法在光学成像中的有效性。因此,散射介质是设计​​有效且紧凑的压缩成像仪的有希望的候选者。

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