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Laser & Optoelectronics Progress, Volume. 56, Issue 21, 211007(2019)

Super-Resolution Reconstruction of Hyperspectral Images Based on Tensor Truncated Nuclear Norm

Yizhuo Wang, Haijin Zeng, Jiajia Zhao, and Xiaozhen Xie*
Author Affiliations
  • College of Science, Northwest A & F University, Xianyang, Shaanxi 712100, China
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    Figures & Tables(7)
    Steps of TNN-LRTV algorithm

    Fig. 1. Steps of TNN-LRTV algorithm

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    Reconstruction results on band 50 of Moffet Field data. (a) Original image; (b) fuzzy down sampling image;(c) result of NLM method; (d) result of SSGS method; (e) result of LRTV method; (f) result of TNN-LRTV method

    Fig. 2. Reconstruction results on band 50 of Moffet Field data. (a) Original image; (b) fuzzy down sampling image;(c) result of NLM method; (d) result of SSGS method; (e) result of LRTV method; (f) result of TNN-LRTV method

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    Reconstruction results on band 101 of DC Mall image. (a) Original image; (b) fuzzy down sampling image; (c) result of NLM method; (d) result of SSGS method; (e) result of LRTV method; (f) result of TNN-LRTV method

    Fig. 3. Reconstruction results on band 101 of DC Mall image. (a) Original image; (b) fuzzy down sampling image; (c) result of NLM method; (d) result of SSGS method; (e) result of LRTV method; (f) result of TNN-LRTV method

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    IPSNR values of different methods

    Fig. 4. IPSNR values of different methods

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    ISSIM values of different methods

    Fig. 5. ISSIM values of different methods

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    Results of spectral features at (100, 120). (a) Spectral feature of original image; (b) spectral feature after fuzzy down sampling; (c) spectral features of the reconstructed results of different methods

    Fig. 6. Results of spectral features at (100, 120). (a) Spectral feature of original image; (b) spectral feature after fuzzy down sampling; (c) spectral features of the reconstructed results of different methods

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    • Table 1. Comparison of SR reconstruction results of hyperspectral images by different methods

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      Table 1. Comparison of SR reconstruction results of hyperspectral images by different methods

      MetricDatasetNLMSSGSLRTVTNN-LRTV
      MSSIM /%DC Mall 10.74750.79300.83570.8540
      DC Mall 20.77910.85460.86530.8794
      DC Mall 30.78110.85860.86700.8814
      Moffett 10.72820.80410.81060.8319
      Moffett 20.72960.79830.81090.8307
      MPSNR /dBDC Mall 123.51225.33125.62326.425
      DC Mall 223.20425.05925.14225.660
      DC Mall 323.61925.51625.60226.137
      Moffett 126.74727.68528.12228.565
      Moffett 226.87927.61328.22928.646
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    Yizhuo Wang, Haijin Zeng, Jiajia Zhao, Xiaozhen Xie. Super-Resolution Reconstruction of Hyperspectral Images Based on Tensor Truncated Nuclear Norm[J]. Laser & Optoelectronics Progress, 2019, 56(21): 211007

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    Paper Information

    Category: Image Processing

    Received: Apr. 16, 2019

    Accepted: May. 5, 2019

    Published Online: Nov. 2, 2019

    The Author Email: Xiaozhen Xie (xiexzh@nwafu.edu.cn)

    DOI:10.3788/LOP56.211007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology