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利用像差的快照压缩成像

Snapshot compressive imaging using aberrations.

作者信息

Vera Esteban, Meza Pablo

出版信息

Opt Express. 2018 Jan 22;26(2):1206-1218. doi: 10.1364/OE.26.001206.

DOI:10.1364/OE.26.001206
PMID:29401997
Abstract

Based on compressed sensing, snapshot compressive imaging aims to optically compress high resolution images using low resolution detectors. The challenge is the generation of the simultaneous optical projections that can fulfill compressed sensing reconstruction requirements. We propose the use of aberrations to produce point spread functions that can simultaneously code and multiplex partial parts the scene. We explore different Zernike modes and analyze the corresponding coherence parameter. Simulation and experimental reconstruction results from 16X compressed measurements of natively sparse and natural scenes demonstrate the feasibility of using aberrations, in particular primary and secondary astigmatism, for simple, effective single-shot compressive imaging.

摘要

基于压缩感知,快照压缩成像旨在使用低分辨率探测器对高分辨率图像进行光学压缩。挑战在于生成能够满足压缩感知重建要求的同步光学投影。我们提议利用像差来产生点扩散函数,该函数可同时对场景的部分区域进行编码和复用。我们探索了不同的泽尼克模式并分析了相应的相干参数。对天然稀疏场景和自然场景进行16倍压缩测量后的模拟和实验重建结果表明,利用像差,特别是初级和次级像散,进行简单、有效的单次压缩成像具有可行性。

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