A Computational Camera with Programmable Optics for Snapshot High-Resolution Multispectral Imaging
A Computational Camera with Programmable Optics for Snapshot High-Resolution Multispectral Imaging
复制标题
具有可编程光学器件的计算相机，用于快照高分辨率多光谱成像
DOI：
10.1007/978-3-030-20893-6_43
复制
发表时间：
2018
影响因子：
1.3
通讯作者：
H. Lensch
中科院分区：
文献类型：
--
作者：
Jieen Chen;M. Hirsch;B. Eberhardt;H. Lensch
光谱成像在文化遗产保护、医学成像等领域有着广泛的应用。光谱成像采集图像平面上每个位置的光谱信息作为图像立方体。在各种方法中，快照多光谱成像技术在一个积分周期内测量立方体。以前的工作已经解决了光学设计的问题，而最近的发展已经转移到计算的重点。本文提出了一种基于计算相机的快拍多光谱成像技术和相应的图像恢复算法。其主要特点是：（1）通过设计用户定义的PSF将光谱信息转移到空间域;（2）通过计算反演图像形成来测量光谱图像。我们的计算相机的设计是基于相位编码孔径技术，以产生空间和光谱变化的PSF。通过对单通道和跨通道先验信息的自适应，设计了相应的算法。我们的实验表明，我们的技术的可行性：它重建高分辨率的多光谱图像从快照。我们进一步验证了PSF设计的作用是至关重要的。
Spectral imaging has many uses in the field of conservation of cultural heritage, medical imaging, etc. It collects spectral information at each location of an image plane as an image cube. Among various approaches, snapshot multispectral imaging techniques measure the cube within one integration period. Previous work has addressed the issue of optical design, while recent developments have shifted the focus towards computation. In this paper, we present a snapshot multispectral imaging technique with a computational camera and a corresponding image restoration algorithm. The main characteristics are: (1) transferring spectral information to the spatial domain by engineering user-defined PSFs; (2) measuring spectral images by computationally inverting the image formation. The design of our computational camera is based on a phase-coded aperture technique to generate spatial and spectral variant PSFs. The corresponding algorithm is designed by adapting single-channel and cross-channel priors. We show experimentally the viability of our technique: it reconstructs high resolution multispectral images from a snapshot. We further validate that the role of PSF design is critical.
影响因子：
6.2
作者：
Heide, Felix;Rouf, Mushfiqur;Kolb, Andreas
通讯作者：
Kolb, Andreas