School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
Sensors (Basel). 2021 Nov 22;21(22):7757. doi: 10.3390/s21227757.
Multispectral imaging can be applied to water quality monitoring, medical diagnosis, and other applications, but the principle of multispectral imaging is different from the principle of hyper-spectral imaging. Multispectral imaging is generally achieved through filters, so multiple photos are required to obtain spectral information. Using multiple detectors to take pictures at the same time increases the complexity and cost of the system. This paper proposes a simple multispectral camera based on lensless imaging, which does not require multiple lenses. The core of the system is the multispectral coding aperture. The coding aperture is divided into different regions and each region transmits the light of one wavelength, such that the spectral information of the target can be coded. By solving the inverse problem of sparse constraints, the multispectral information of the target is inverted. Herein, we analyzed the characteristics of this multispectral camera and developed a principle prototype to obtain experimental results.
多光谱成像是一种应用于水质监测、医学诊断等领域的技术,但多光谱成像的原理与高光谱成像的原理不同。多光谱成像是通过滤波器实现的,因此需要拍摄多张照片才能获得光谱信息。使用多个探测器同时拍摄会增加系统的复杂性和成本。本文提出了一种基于无透镜成像的简单多光谱相机,该相机不需要多个透镜。系统的核心是多光谱编码孔径。编码孔径被分为不同的区域,每个区域传输一个波长的光,从而对目标的光谱信息进行编码。通过求解稀疏约束的逆问题,反演出目标的多光谱信息。在此,我们分析了这种多光谱相机的特点,并开发了一个原理原型来获得实验结果。