Acta Optica Sinica, Volume. 42, Issue 17, 1711001(2022)

Optimization Method for Snapshot Hyperspectral Imaging System Based on Diffractive Rotation

Hao Xu1、**, Tingting Jiang2, Haiquan Hu1, Hao Zhou1, Qi Li1, Yueting Chen1, and Zhihai Xu1、*
Author Affiliations
  • 1State Key Laboratory of Modern Optical Instrumentation, Zhejiang University, Hangzhou 310027, Zhejiang,China
  • 2Research Center for Intelligent Sensing Systems, Zhejiang Lab, Hangzhou 311100, Zhejiang, China
  • show less
    References(22)

    [1] Feng Y Z, Sun D W. Application of hyperspectral imaging in food safety inspection and control: a review[J]. Critical Reviews in Food Science and Nutrition, 52, 1039-1058(2012).

    [2] Li J B, Rao X Q, Ying Y B. Advance on application of hyperspectral imaging to nondestructive detection of agricultural products external quality[J]. Spectroscopy and Spectral Analysis, 31, 2021-2026(2011).

    [3] Gao S, Wang Q H, Fu D D et al. Nondestructive detection of sugar content and firmness of red globe grape by hyperspectral imaging[J]. Acta Optica Sinica, 39, 1030004(2019).

    [4] Arkin A, Sawut M, Li J Z. Estimation of chlorophyll content of long-staple cotton based on canopy spectrum characteristics[J]. Laser & Optoelectronics Progress, 59, 0530001(2022).

    [5] Kulcke A, Holmer A, Wahl P et al. A compact hyperspectral camera for measurement of perfusion parameters in medicine[J]. Biomedizinische Technik, 63, 519-527(2018).

    [6] Zhang Y G, Migliavacca M, Penuelas J et al. Advances in hyperspectral remote sensing of vegetation traits and functions[J]. Remote Sensing of Environment, 252, 112121(2021).

    [7] Li S Y, Liu Z W, Liu K et al. Advances in application of space hyperspectral remote sensing (invited)[J]. Infrared and Laser Engineering, 48, 0303001(2019).

    [8] Hagen N, Kudenov M W. Review of snapshot spectral imaging technologies[J]. Optical Engineering, 52, 090901(2013).

    [9] Gehm M E, John R, Brady D J et al. Single-shot compressive spectral imaging with a dual-disperser architecture[J]. Optics Express, 15, 14013-14027(2007).

    [10] Jeon D S, Choi I, Kim M H. Multisampling compressive video spectroscopy[J]. Computer Graphics Forum, 35, 467-477(2016).

    [11] Xiong J, Cai X S, Cui K Y et al. Dynamic brain spectrum acquired by a real-time ultraspectral imaging chip with reconfigurable metasurfaces[J]. Optica, 9, 461-468(2022).

    [12] Zhang W Y, Song H Y, He X et al. Deeply learned broadband encoding stochastic hyperspectral imaging[J]. Light: Science & Applications, 10, 108(2021).

    [13] Jeon D S, Baek S H, Yi S et al. Compact snapshot hyperspectral imaging with diffracted rotation[J]. ACM Transactions on Graphics, 38, 117(2019).

    [14] Li Y, Jin Q Y, Zhao H C et al. Hyperspectral image reconstruction based on improved residual dense network[J]. Acta Optica Sinica, 41, 0730001(2021).

    [15] Shi Z, Chen C, Xiong Z W et al. HSCNN: advanced CNN-based hyperspectral recovery from RGB images[C], 1052-1060(2018).

    [16] Arad B, Ben-Shahar O. Sparse recovery of hyperspectral signal from natural RGB images[M]. Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9911, 19-34(2016).

    [17] Zhang K, Zuo W M, Gu S H et al. Learning deep CNN denoiser prior for image restoration[C], 2808-2817(2017).

    [18] Dong W S, Wang P Y, Yin W T et al. Denoising prior driven deep neural network for image restoration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41, 2305-2318(2019).

    [19] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015. Lecture notes in computer science, 9351, 234-241(2015).

    [20] Zhang J, Ghanem B. ISTA-net: interpretable optimization-inspired deep network for image compressive sensing[C], 1828-1837(2018).

    [21] Hu H Q, Zhou H, Xu Z H et al. Practical snapshot hyperspectral imaging with DOE[J]. Optics and Lasers in Engineering, 156, 107098(2022).

    [22] Choi I, Jeon D S, Nam G et al. High-quality hyperspectral reconstruction using a spectral prior[J]. ACM Transactions on Graphics, 36, 218(2017).

    Tools

    Get Citation

    Copy Citation Text

    Hao Xu, Tingting Jiang, Haiquan Hu, Hao Zhou, Qi Li, Yueting Chen, Zhihai Xu. Optimization Method for Snapshot Hyperspectral Imaging System Based on Diffractive Rotation[J]. Acta Optica Sinica, 2022, 42(17): 1711001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Imaging Systems

    Received: Apr. 26, 2022

    Accepted: Jun. 20, 2022

    Published Online: Sep. 16, 2022

    The Author Email: Xu Hao (xuhao_optics@zju.edu.cn), Xu Zhihai (xuzh@zju.edu.cn)

    DOI:10.3788/AOS202242.1711001

    Topics