Advanced hyperspectral video imaging system using Amici prism

Feng, Jing; Fang, Xiaojing; Cao, Xun; Ma, Chenguang; Dai, Qionghai; Zhu, H.; Wang, Yongjin

doi:10.1364/oe.22.019348

Cited by 14 publications

(4 citation statements)

References 21 publications

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“…Prism-mask Multispectral Video Imaging System (PMVIS) [21], using spatial sampling methods, such as a mask or a microlens array, combined with the traditional dispersion method, captures the scattered spectrum by the high-resolution sensor. Aiming at the limitation of the low spatial resolution of the PMVIS system, the method of capturing high spatial resolution spectral images through a dual-channel system [22], [23] is proposed, and this method propagate the multispectral data to the other pixels according to color similarity and spatial proximity. The light-field spectrometer couples spectral information to light angle information [24], which is easy to integrate, but the improvement of its spectral resolution is built on the sacrifice of spatial resolution.…”

Section: Related Work a Spectrometers For Spectral Imagingmentioning

confidence: 99%

High Spectral Resolution Imaging Based on Dual-Camera System With Filter Wheel

Zhao

Zhu

et al. 2022

IEEE Access

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High spectral and high spatial resolution imaging is necessary in optical imaging. However, the filter wheel imaging system which is composed of band pass filters obtains discrete spectral information, with high spatial resolution, but low spectral resolution. This paper proposes a novel high spectral resolution imaging approach based on dual-camera system with filter wheel, to reconstruct high spectral and high spatial resolution images from a limited number of spectral images. The proposed architecture comprises three key components: design of dual-camera system with filter wheel (DCS-FW), establish the mapping relationship between RGB image and spectral images, achieve spectrum reconstruction by interpolation. The proposed system combines useful information from both cameras. And the conservation of energy is used to achieve the mapping relationship between RGB image and spectral images, which we used to establish interpolating compensation computational reconstruction. Both simulation and experiments are adopted to verify the validness of our approach, the results show that our method achieves an accurate and robust high spectral resolution reconstruction while maintaining spatial resolution.

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Section: Related Work a Spectrometers For Spectral Imagingmentioning

confidence: 99%

High Spectral Resolution Imaging Based on Dual-Camera System With Filter Wheel

Zhao

Zhu

et al. 2022

IEEE Access

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“…where G, H, l, n l , and s l have the same meaning as that in Formula (10). b l is the data bits number of the outputs of l-th layer and the weights between l-th layer and l + 1-th layer.…”

Section: The Quantified Detection Speed With Network Structure and Armentioning

confidence: 99%

“…s l is the neurons number of a layer. C is the computational amount as in Formula (10). AUC is the area under the curve which is defined in Formula (9).…”

Section: The Quantified Detection Speed With Network Structure and Armentioning

confidence: 99%

A Lightweight Hyperspectral Image Anomaly Detector for Real-Time Mission

et al. 2019

Remote Sensing

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In real-time onboard hyperspectral-image(HSI) anomalous targets detection, processing speed and accuracy are equivalently desirable which is hard to satisfy at the same time. To improve detection accuracy, deep learning based HSI anomaly detectors (ADs) are widely studied. However, their large scale network results in a massive computational burden. In this paper, to improve the detection throughput without sacrificing the accuracy, a pruning–quantization–anomaly–detector (P-Q-AD) is proposed by building an underlying constraint formulation to make a trade-off between accuracy and throughput. To solve this formulation, multi-objective optimization with nondominated sorting genetic algorithm II (NSGA-II) is employed to shrink the network. As a result, the redundant neurons are removed. A mixed precision network is implemented with a delicate customized fixed-point data expression to further improve the efficiency. In the experiments, the proposed P-Q-AD is implemented on two real HSI data sets and compared with three types of detectors. The results show that the performance of the proposed approach is no worse than those comparison detectors in terms of the receiver operating characteristic curve (ROC) and area under curve (AUC) value. For the onboard mission, the proposed P-Q-AD reaches over 4 . 5 × speedup with less than 0 . 5 % AUC loss compared with the floating-based detector. The pruning and the quantization approach in this paper can be referenced for designing the anomalous targets detectors for high efficiency.

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“…At the same time, Gehm et al [16,17] developed the coded aperture snapshot spectral imager (CASSI). Compressive sensing has been applied to the iterative reconstruction process by many scholars based on the combination of an intermediate image plane and a coded aperture (which can be a binary mask [18][19][20][21][22], a spatial-light modulator [23][24][25], a digital micromirror device [26,27], or otherwise [28][29][30][31]). Comparison of this imager with the present multi-aperture and coded aperture snapshot spectral imaging systems leads to the following inferences: (1) owing to the structural characteristics of the multi-aperture snapshot spectral imaging system itself, there is always a mutually constrained relationship between the spectral and spatial resolutions, and the two cannot achieve the optimal value at the same time.…”

Section: Introductionmentioning

confidence: 99%

Optimization modulation method for 3D spectral data cube using linear encoding of intrinsic chromatic aberration

Zhao¹,

Li²,

Liu³

et al. 2020

J. Opt.

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We develop herein a new optimization modulation method for the three-dimensional (3D) spectral data cube (SDC) based on the use of a linear encoding scheme of the intrinsic chromatic aberration, especially for snapshot multispectral or hyperspectral imaging systems. A mathematical model of the linear chromatic aberration modulation is established that provides theoretical guidelines on the optimal design of 3D SDC for snapshot spectral imaging systems. Spectral simulations and experiments of an optical system are conducted and are shown to match closely, thus demonstrating that the proposed linear encoding scheme can be used as a valid modulation method for 3D SDC. The feasibility of the proposed method for snapshot spectral imaging is verified by the spectral imaging experiments of a polychromatic slit with five wavelengths of 470 nm, 516 nm, 550 nm, 570 nm, 610 nm. The results of the recovered images also confirm that the mutual restriction of spectral and spatial resolutions is addressed. Overall, it is expected for the proposed modulation method for 3D SDC to create new possibilities for high-resolution, compact spectral imaging system with low-cost.

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Advanced hyperspectral video imaging system using Amici prism

Cited by 14 publications

References 21 publications

High Spectral Resolution Imaging Based on Dual-Camera System With Filter Wheel

High Spectral Resolution Imaging Based on Dual-Camera System With Filter Wheel

A Lightweight Hyperspectral Image Anomaly Detector for Real-Time Mission

Optimization modulation method for 3D spectral data cube using linear encoding of intrinsic chromatic aberration

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