基于压缩感知的超分辨光学系统

A. Stern, August Yitzhak, V. Farber, R. Yehuda
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引用次数: 1

摘要

压缩感知和稀疏表示理论打破了传统的光信号分辨率与采集过程带宽之间的联系。因此,它开辟了新的光学超分辨系统的道路;也就是说,能够以超出经典极限的分辨率捕获光信号的方法和系统。本文综述了目前已开发的几种压缩感知光学超分辨率系统,包括三种产生超分辨率图像的压缩成像系统、超分辨率层析成像重建系统和超分辨率光谱感知系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Super-resolving optical systems based on compressive sensing
The theory of compressive sensing and sparse representations broke the traditional linkage between the resolution of the optical signals and the bandwidth of the acquisition process. As such, it opened the path to new optical super-resolving systems; that is, methods and systems that are able to capture optical signals with resolution beyond the classical limits. In this paper we overview some compressive sensing optical super-resolution systems that we have developed, including three compressive imaging system that produce super-resolution images, super-resolution tomography reconstruction, and super-resolution spectral sensing.
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