Multi-aperture system approach for snapshot multispectral imaging applications

Hubold, Martin; Montag, Elisabeth; Berlich, R.; Brunner, Róbert; Brüning, Robert

doi:10.1364/oe.412655

Cited by 15 publications

(6 citation statements)

References 23 publications

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“…LVFs are spectral band-pass filters on one glass substrate with a variation of the pass-band along one physical direction. So, it is worthwhile to rotate this filter around the optical axis of the MLA by a certain angle in order to achieve a linear spectral sampling over all channels using a monolithic element (see [3]). However, the limited gradient of such a continuous varying filter requires a relatively…”

Section: Filter Approachesmentioning

confidence: 99%

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Concept, manufacturing and challenges of ultra-compact snapshot multi-spectral multi-aperture imaging systems

et al. 2022

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Snapshot multispectral imaging is a rising non-invasive and contact-free analysis method and technology to discriminate or identify objects based on their spectral characteristics. We demonstrate a versatile system approach for compact and real-time capable snapshot cameras for the visible (VIS) and the near-infrared (NIR) or the short-wave infrared (SWIR) wavelength range based on a micro-optical multi-aperture system and various spectral filter approaches. In addition, the manufacturing, the calibration, and the limitations of the demonstration systems are described.

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Section: Filter Approachesmentioning

confidence: 99%

“…The spectral calibration of the individual cameras is performed via measurements using a monochromator setup as presented in [3]. The similarity of all is the wavelength shift of the central transmission wavelength due to the increase of the angle of incidence for outer fields.…”

Section: Manufacturing and Challengesmentioning

confidence: 99%

Concept, manufacturing and challenges of ultra-compact snapshot multi-spectral multi-aperture imaging systems

et al. 2022

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“…[14][15][16][17][18][19][20][21][22] The latter ones became more prevalent and are already commercially available, 16,17 with wavelength ranges covering, e.g., 320 to 560, 450 to 850, and 800 to 1100 nm, 16 or infrared (IR) regions, such as 0.9 to 1.70 or 2.5 to 5.0 μm. 17 Numerous applications and devices based on LVFs have been reported, such as gas 19 and liquid 20 measurements, thin-film measurements, 21 broadband spectrometers for current NASA space missions, 22 order sorting filters for commercial grating spectrometers, 24 multispectral and hyperspectral imaging, 25,26 commercially available LVF monochromators, 27 and hyperspectral video cameras. 28 The variable design of an LVF with different transmission distributions enables a flexible design of this concept.…”

Section: Working Principlementioning

confidence: 99%

Simple but effective: strong efficiency boost for a linear variable filter-based spectrometer

Kobylinskiy

Kraus

Uwurukundo

et al. 2021

J. Optical Microsystems

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A method to drastically enhance detection efficiency of a linear variable filter (LVF) sensor across an extended and continuous wavelength range is presented. The efficiency is increased by a wavelength preselection concept, where the incoming light is divided into partial spectra to reduce otherwise unavoidable reflection losses of filter-based spectrometers. The simple but effective setup uses selected and successively arranged dichroic beamsplitters, which ensures an optimized compromise between efficiency enhancement and minimum increasing complexity. When connected to a two-dimensional camera and combined with a tilted LVF, this compact optical system allows the continuous recording of the full wavelength range between 450 and 850 nm with a resolution of ∼19 nm at 508.6 nm. An efficiency enhancement factor of up to 5.7 is achieved in comparison to a conventional LVF setup. The working principle was verified by measuring the reflection spectra of different natural and artificial green leaves. The proposed approach for increasing the efficiency can be miniaturized and applied to a broad range of other filter-based sensors. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…The multi-aperture imaging systems can be modified for spectral imaging by using bandpass filters, band-stop filters, continuous variable filters, or the linear variable spectral filter. Recently, Hubold et al placed a slanted linear variable spectral filter near the entrance pupil of the microlens array, multi-aperture imaging system to realize snapshot multispectral imaging [16]. The aforementioned two types of snapshot multispectral imaging consist of a dispersive element or variable filter, which requires a sophisticated optical system to focus multi-bands on a single focal plane array.…”

Section: Introductionmentioning

confidence: 99%

Spectral Clustering Super-Resolution Imaging Based on Multispectral Camera Array

Huang

Chen

Wang

et al. 2023

IEEE Trans. on Image Process.

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Although multispectral and hyperspectral imaging acquisitions are applied in numerous fields, the existing spectral imaging systems suffer from either low temporal or spatial resolution. In this study, a new multispectral imaging systemcamera array based multispectral super resolution imaging system (CAMSRIS) is proposed that can simultaneously achieve multispectral imaging with high temporal and spatial resolutions. The proposed registration algorithm is used to align pairs of different peripheral and central view images. A novel, superresolution, spectral-clustering-based image reconstruction algorithm was developed for the proposed CAMSRIS to improve the spatial resolution of the acquired images and preserve the exact spectral information without introducing false information. The reconstructed results showed that the spatial and spectral quality and operational efficiency of the proposed system are better than those of a multispectral filter array (MSFA) based on different multispectral datasets. The PSNR of the multispectral super-resolution images obtained by the proposed method were respectively higher by 2.03 and 1.93 dB than those of GAP-TV and DeSCI, and the execution time was significantly shortened by approximately 54.55 s and 9820.19 s when the CAMSI dataset was used. The feasibility of the proposed system was verified in practical applications based on different scenes captured by the self-built system.

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Multi-aperture system approach for snapshot multispectral imaging applications

Cited by 15 publications

References 23 publications

Concept, manufacturing and challenges of ultra-compact snapshot multi-spectral multi-aperture imaging systems

Concept, manufacturing and challenges of ultra-compact snapshot multi-spectral multi-aperture imaging systems

Simple but effective: strong efficiency boost for a linear variable filter-based spectrometer

Spectral Clustering Super-Resolution Imaging Based on Multispectral Camera Array

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