Signal Processing - September 2016 - 95

SIGNAL PROCESSING FOR
COMPUTATIONAL PHOTOGRAPHY AND DISPLAYS

Xun Cao, Tao Yue, Xing Lin, Stephen Lin, Xin Yuan,
Qionghai Dai, Lawrence Carin, and David J. Brady

Computational Snapshot Multispectral Cameras
Toward dynamic capture of the spectral world

M

ultispectral cameras collect image data with a greater
number of spectral channels than traditional trichromatic sensors, thus providing spectral information at a
higher level of detail. Such data are useful in various
fields, such as remote sensing, materials science, biophotonics,
and environmental monitoring. The massive scale of multispectral data-at high resolutions in the spectral, spatial, and
temporal dimensions-has long presented a major challenge in spectrometer design. With recent developments
in sampling theory, this problem has become more
manageable through use of undersampling and constrained reconstruction techniques. This article
presents an overview of these state-of-the-art
multispectral acquisition systems, with a particular focus on snapshot multispectral capture, from
a signal processing perspective. We propose that
undersampling-based multispectral cameras can
be understood and compared by examining the
efficiency of their sampling schemes, which we
formulate as the spectral sensing coherence information between their sensing matrices and spectrum-specific bases learned from a large-scale
multispectral image database. We analyze existing
snapshot multispectral cameras in this manner, and
additionally discuss their optical performance in terms of
light throughput and system complexity.

Introduction
©ISTOCKPHOTO.COM/YAKOBCHUK

Digital Object Identifier 10.1109/MSP.2016.2582378
Date of publication: 2 September 2016

1053-5888/16©2016IEEE

The spectrum of a point in a scene is represented by the distribution of its electromagnetic radiation over a range of
wavelengths. In conventional digital imaging devices, spectra
are measured using three-channel red, green, blue (RGB) sensors, which are designed to coincide with the tristimulus color
measurements in the human visual system. However, a triple
representation fails to capture the intricate details of natural
scene spectra, which arise from the diversity and complexity
of illumination and reflectance spectra in the real world.
Since various material and object properties can be inferred

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Table of Contents for the Digital Edition of Signal Processing - September 2016

Signal Processing - September 2016 - Cover1
Signal Processing - September 2016 - Cover2
Signal Processing - September 2016 - 1
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Signal Processing - September 2016 - Cover3
Signal Processing - September 2016 - Cover4
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