High-speed hyperspectral imaging enabled by compressed sensing in time domain
High-speed hyperspectral imaging enabled by compressed sensing in time domain
复制标题
通过时域压缩传感实现高速高光谱成像
DOI：
10.1117/1.apn.2.2.026008
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发表时间：
2023
期刊：
影响因子：
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通讯作者：
Keisuke Goda
中科院分区：
文献类型：
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作者：
Shigekazu Takizawa;Kotaro Hiramatsu;Matthew Lindley;Julia Gala de Pablo;Shunsuke Ono;Keisuke Goda
高光谱成像(HSI)因其能够提供丰富的空间光谱信息而被广泛应用于各种科学和工业领域。然而，为了换取多光谱信息，其图像采集率低于常规成像，最多几种颜色。特别是，红外区域中的HSI和使用非线性光学过程是不切实际的缓慢，因为必须以逐点方式扫描三维(3D)数据立方体。在这项研究中，我们展示了一个框架，以提高HSI的光谱图像采集率，通过结合时域HSI和压缩感知。具体地说，我们基于一种实验上可行的采样方案，在100 像素 × 100 像素的情况下，模拟了25帧/秒(Fps)的宽带相干拉曼成像，比以前的工作快了10 × 。
Hyperspectral imaging (HSI) is a powerful tool widely used for various scientific and industrial applications due to its ability to provide rich spatiospectral information. However, in exchange for multiplex spectral information, its image acquisition rate is lower than that of conventional imaging, with up to a few colors. In particular, HSI in the infrared region and using nonlinear optical processes is impractically slow because the three-dimensional (3D) data cube must be scanned in a point-by-point manner. In this study, we demonstrate a framework to improve the spectral image acquisition rate of HSI by integrating time-domain HSI and compressed sensing. Specifically, we simulated broadband coherent Raman imaging at a record high frame rate of 25 frames per second (fps) with 100 pixels × 100 pixels, which is 10 × faster than that of previous work, based on an experimentally feasible sampling scheme utilizing 3D Lissajous scanning.