• Chinese Journal of Lasers
  • Vol. 46, Issue 10, 1009001 (2019)
Fanqiang Kong1, Yongbo Zhou1、*, Qiu Shen2, and Keyao Wen1
Author Affiliations
  • 1College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210000, China
  • 2School of Electronic Science and Engineering, Nanjing University, Nanjing, Jiangsu 210046, China
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    DOI: 10.3788/CJL201946.1009001 Cite this Article Set citation alerts
    Fanqiang Kong, Yongbo Zhou, Qiu Shen, Keyao Wen. End-to-End Multispectral Image Compression Using Convolutional Neural Network[J]. Chinese Journal of Lasers, 2019, 46(10): 1009001 Copy Citation Text show less
    Overall flow chart of compression network
    Fig. 1. Overall flow chart of compression network
    Intermediate feature image visualization. (a) Original image; (b) fMap_5; (c) fMap_16; (d) fMap_32; (e) fMap_46
    Fig. 2. Intermediate feature image visualization. (a) Original image; (b) fMap_5; (c) fMap_16; (d) fMap_32; (e) fMap_46
    Illustrations of residual network unit. (a) Default architecture in ResNet; (b) proposed architecture ResUnit by replacing ReLU
    Fig. 3. Illustrations of residual network unit. (a) Default architecture in ResNet; (b) proposed architecture ResUnit by replacing ReLU
    Illustrations of compression networks. (a) Forward coding network architecture; (b) reverse decoding network architecture
    Fig. 4. Illustrations of compression networks. (a) Forward coding network architecture; (b) reverse decoding network architecture
    Average PSNR of test dataset at different code rates
    Fig. 5. Average PSNR of test dataset at different code rates
    RD curves. (a) tj-chun118; (b) hunan-qiu233; (c) ss443; (d) tj-xia216
    Fig. 6. RD curves. (a) tj-chun118; (b) hunan-qiu233; (c) ss443; (d) tj-xia216
    Reconstructed image display. (a) Original image; (b) JPEG; (c) JPEG2000; (d) proposed algorithm
    Fig. 7. Reconstructed image display. (a) Original image; (b) JPEG; (c) JPEG2000; (d) proposed algorithm
    Spectral similarity curves
    Fig. 8. Spectral similarity curves
    Test datasetCode rate /(bit·pixel-1)
    0.0980.1160.1370.1510.2060.2940.3450.455
    JPEG1429.5601230.880616.868445.511283.592269.364187.519164.105
    JPEG2000396.171312.923282.149271.791260.262248.623154.931149.086
    Proposed189.911185.021178.488174.609157.862149.392109.81193.105
    Table 1. Average spectral similarity of test dataset at different code rates
    Fanqiang Kong, Yongbo Zhou, Qiu Shen, Keyao Wen. End-to-End Multispectral Image Compression Using Convolutional Neural Network[J]. Chinese Journal of Lasers, 2019, 46(10): 1009001
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