High-Resolution Hyperspectral Video Imaging Using A Hexagonal Camera Array

TL;DR

This paper introduces a high-resolution hyperspectral video imaging system using a hexagonal camera array with off-the-shelf hardware, achieving superior reconstruction quality and flexibility for snapshot hyperspectral imaging.

Contribution

The paper presents a novel hexagonal camera array design for hyperspectral imaging that is cost-effective, flexible, and outperforms existing snapshot methods in reconstruction quality.

Findings

Outperforms competitors by over 3 dB in synthetic data reconstruction.

Uses off-the-shelf hardware for flexible spectral range and low cost.

Provides a real-world high-resolution hyperspectral video database.

Abstract

Retrieving the reflectance spectrum from objects is an essential task for many classification and detection problems, since many materials and processes have a unique spectral behaviour. In many cases, it is highly desirable to capture hyperspectral images due to the high spectral flexibility. Often, it is even necessary to capture hyperspectral videos or at least to be able to record a hyperspectral image at once, also called snapshot hyperspectral imaging, to avoid spectral smearing. For this task, a high-resolution snapshot hyperspectral camera array using a hexagonal shape is introduced.The hexagonal array for hyperspectral imaging uses off-the-shelf hardware, which enables high flexibility regarding employed cameras, lenses and filters. Hence, the spectral range can be easily varied by mounting a different set of filters. Moreover, the concept of using off-the-shelf hardware enables low prices in comparison to other approaches with highly specialized hardware. Since classical industrial cameras are used in this hyperspectral camera array, the spatial and temporal resolution is very high, while recording 37 hyperspectral channels in the range from 400 nm to 760 nm in 10 nm steps. A registration process is required for near-field imaging, which maps the peripheral camera views to the center view. It is shown that this combination using a hyperspectral camera array and the corresponding image registration pipeline is superior in comparison to other popular snapshot approaches. For this evaluation, a synthetic hyperspectral database is rendered. On the synthetic data, the novel approach outperforms its best competitor by more than 3 dB in reconstruction quality. This synthetic data is also used to show the superiority of the hexagonal shape in comparison to an orthogonal-spaced one. Moreover, a real-world high resolution hyperspectral video database is provided.