• Journal of Infrared and Millimeter Waves
  • Vol. 37, Issue 4, 427 (2018)
SHAO Bao-Tai1、2、3、*, TANG Xin-Yi1、3, JIN Lu1、2、3, and LI Zheng1、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.11972/j.issn.1001-9014.2018.04.009 Cite this Article
    SHAO Bao-Tai, TANG Xin-Yi, JIN Lu, LI Zheng. Single frame infrared image super-resolution algorithm based on generative adversarial nets[J]. Journal of Infrared and Millimeter Waves, 2018, 37(4): 427 Copy Citation Text show less
    References

    [1] Dong C, Chen C L, He K, et al. Learning a deep convolutional network for image super-resolution[J]. European Conference on Computer Vision, 2014, 8692:184-199.

    [2] Dong C, Chen C L, He K, et al. Image super-resolution using deep convolutional networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2016, 38(2):295.

    [3] Kim J, Lee J K, Lee K M. Deeply-recursive convolutional network for image super-resolution[C] Computer Vision and Pattern Recognition. IEEE, 2016:1637-1645.

    [4] Shi W, Caballero J, Huszar F, et al. Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network[C] Computer Vision and Pattern Recognition. IEEE, 2016:1874-1883.

    [7] Ledig C, Theis L, Huszar F, et al. Photo-realistic single image super-resolution using a generative adversarial network[C]. Computer Vision and Pattern Recognition. IEEE, 2016: 4681-4690.

    [8] Socarras Y, Ramos S, Vazquez D, et al. Adapting pedestrian Detection from synthetic to far infrared images[C]. In ICCV-Workshop on Visual Domain Adaptation and Dataset Bias. Sydney, Australia, 2013.

    [9] Kingma D P, Ba J. Adam: A method for stochastic optimization[J]. Computer Science, 2014.

    [10] Goodfellow I J, Pouget-Abadie J, Mirza M, et al. Generative adversarial networks[J]. Advances in Neural Information Processing Systems, 2014,3:2672-2680.

    SHAO Bao-Tai, TANG Xin-Yi, JIN Lu, LI Zheng. Single frame infrared image super-resolution algorithm based on generative adversarial nets[J]. Journal of Infrared and Millimeter Waves, 2018, 37(4): 427
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