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Parallel Compressed Sensing Super-Resolution Imaging via using Multiply Scattering Medium

机译:平行压缩检测超分辨率通过乘法散射介质通过分辨率成像

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Recent studies have shown that compressed sensing is capable of recover sparse signals with much few measurements. Meanwhile, it provides a new idea for super resolution imaging. However, previous compressed sensing super resolution imaging methods use digital micro-mirror device or coded aperture as the measurement matrix, which makes the method inefficient. In this paper, we propose a super-resolution method via parallel compressed sensing, the proposed method using scattering medium as the measurement matrix, which we can get enough measurement values at once. Each measurement values contains global information about the object. Experiment simulation results show the effectiveness of the proposed method.
机译:最近的研究表明,压缩检测能够恢复稀疏信号,测量很少。同时,它为超级分辨率成像提供了新的思路。然而,先前的压缩检测超分辨率成像方法使用数字微镜装置或编码光圈作为测量矩阵,这使得该方法效率低下。在本文中,我们通过并行压缩检测提出了一种超分辨率方法,该方法使用散射介质作为测量矩阵的方法,我们可以立即获得足够的测量值。每个测量值都包含有关对象的全局信息。实验仿真结果表明了该方法的有效性。

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