Single-pixel cameras have recently emerged as promising alternatives to multi-pixel sensors
due to reduced costs and superior durability, which are particularly attractive for mid-infrared …

Hyperspectral (HS) imaging involves the sensing of a scene's spectral properties, which are
often redundant in nature. The redundancy of the information motivates our quest to …

Simultaneous and efficient ultrafast recording of multiple photon tags contributes to high-
dimensional optical imaging and characterization in numerous fields. Existing high …

Compressive multispectral imaging systems comprise a new generation of spectral imagers
that capture coded projections of a scene where spectral data cubes are reconstructed …

The acquisition of hyperspectral (HS) image datacubes with available 2D sensor arrays
involves a time consuming scanning process. In the last decade, several compressive …

Spectral imaging involves the sensing of a large amount of spatial information across a
multitude of wavelengths. Conventional approaches rely on scanning techniques to …

Multi-dimensional imaging is a powerful technique for many applications, such as biological
analysis, remote sensing, and object recognition. Most existing multi-dimensional imaging …

摘要压缩感知高光谱计算成像技术是当前高光谱计算成像领域的研究热点之一,
其能够在保持系统元器件物理特性不变的前提下, 有效地提升成像质量. 本文概述了高光谱计算 …

A broadband high-resolution real-time four-dimensional imaging spectrometer (HRRFDIS) is
presented, which can acquire both broadband fine spectra and high-resolution three …

The spectral and depth (SAD) imaging method plays an important role in the field of
computer vision. However, accurate depth estimation and spectral image capture from a …