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通过使用单个探测器的零阶图像增强压缩采样超光谱成像(CASSI)。

Enhancement of CASSI by a zero-order image employing a single detector.

作者信息

Hlubuček J, Lukeš J, Václavík J, Žídek K

出版信息

Appl Opt. 2021 Feb 10;60(5):1463-1469. doi: 10.1364/AO.414402.

DOI:10.1364/AO.414402
PMID:33690592
Abstract

Coded aperture snapshot spectral imaging (CASSI) makes it possible to recover 3D hyperspectral data from a single 2D image. However, the reconstruction problem is severely underdetermined, and efforts to improve the compression ratio typically make the imaging system more complex and cause a significant loss of incoming light intensity. In this paper, we propose a novel approach to CASSI that enables capturing both a spectrally sheared and an integrated image of a scene with a single camera. We performed hyperspectral imaging of three different testing scenes in the spectral range of 500-900 nm. We demonstrate the prominent effect of using the nondiffracted image on the reconstruction of data from our camera. The use of the spectrally integrated image improves the reconstruction quality, and we observed an approximately fivefold reduction in reconstruction time.

摘要

编码孔径快照光谱成像(CASSI)使得从单个二维图像中恢复三维高光谱数据成为可能。然而,重建问题严重欠定,提高压缩比的努力通常会使成像系统更加复杂,并导致入射光强度的显著损失。在本文中,我们提出了一种新颖的CASSI方法,该方法能够使用单个相机同时捕获场景的光谱剪切图像和积分图像。我们在500 - 900纳米的光谱范围内对三个不同的测试场景进行了高光谱成像。我们证明了使用非衍射图像对相机数据重建的显著效果。光谱积分图像的使用提高了重建质量,并且我们观察到重建时间大约减少了五倍。

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Enhancement of CASSI by a zero-order image employing a single detector.通过使用单个探测器的零阶图像增强压缩采样超光谱成像(CASSI)。
Appl Opt. 2021 Feb 10;60(5):1463-1469. doi: 10.1364/AO.414402.
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引用本文的文献

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Coded Aperture Hyperspectral Image Reconstruction.编码孔径高光谱图像重建
Sensors (Basel). 2021 Sep 30;21(19):6551. doi: 10.3390/s21196551.