CCSS: Spectral Filter Array For Multispectral Imaging

目的：本项目的目标是实现一种新的基于光谱滤光片阵列(SFA)的可见光波长范围的图像传感器。这个多光谱成像问题被描述为在具有最小混叠风险的情况下对高光谱图像信号进行有限的空间光谱测量的任务。所提出的SFA设计利用了多层介质干涉滤光器的周期响应，这在傅立叶采样理论中具有自然的解释，给出了折射率对比度、层厚度和捕获光谱图像保真度之间的直接对应。智能优点：智能优点是理解图像传感器中的光谱过滤器如何影响基于SFA的传感器获取的多光谱图像的空间光谱保真度。建议的联合处理硬件解决方案能够捕获比迄今为止考虑的其他基于SFA的传感器更清晰的图像，因为测量额外的光谱样本时对空间分辨率的牺牲最小。这项研究的预期成果包括具有最佳光谱响应的多层薄膜滤光片、高保真SFA传感器和先进的捕获后处理算法。广泛影响：更广泛的影响是开发基于SFA的多光谱传感器，适用于需要便携式或简单、廉价解决方案的应用。光谱图像的保真度直接影响食品和水安全、遥感、地质、监测、生物医学成像、环境监测、取证和矿物学。拟议的教育和推广计划利用各种渠道，以当地行业、由传感器开发从业者组成的大量研究生人口为目标，并在影响较大的会议上举行辅导会议。

Objective:The objective of this project is to enable a new paradigm of spectral filter array (SFA) based image sensors in the visible wavelength range. This multispectral imaging problem is formulated as the task ofmaking finite spatial-spectral measurements on a hyperspectral image signal with minimal risks for aliasing. The proposed SFA design exploits the periodic response of multilayer dielectric interferencefilters that has a natural interpretation in the Fourier sampling theories, giving direct correspondences between the refractive index contrasts, layer thicknesses and the fidelity of the captured spectralimage.Intellectual merit:The intellectual merit is the understanding of how the spectral filters in image sensors affect the spatial spectral fidelity of the multispectral images acquired by SFA based sensors. The proposed jointprocessing-hardware solution is capable of capturing considerably sharper image than other SFA-based sensors considered to date, since extra spectral samples are measured with minimal sacrifices to spatialresolution. The expected outcomes of the research include multilayer thin film filters with optimal spectral response, a high fidelity SFA sensor, and an advanced post-capture processing algorithm.Broader impacts:The broader impact is the development of SFA based multispectral sensor for applications that require portable or simple, inexpensive solutions. The fidelity of spectral images directly affects food andwater safety, remote sensing, geology, surveillance, biomedical imaging, environment monitoring, forensics, and mineralogy. The proposed educational and outreach program leverages various outlets totarget local industries, a large graduate population comprised of practitioners of sensor exploitation, and tutorial sessions at high impact conferences.