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基于深度学习的图像超分辨率重建技术的研究(5)

发布时间:2019-11-26 18:13 所属栏目:30 来源:安防知识网|0
导读:Kim J, Kwon Lee J, Mu Lee K. Accurate image super-resolution using very deep convolutional networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 1646-1654.

  Kim J, Kwon Lee J, Mu Lee K. Accurate image super-resolution using very deep convolutional networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 1646-1654.

  Dong C, Loy C C, He K, et al. Image super-resolution using deep convolutional networks[J]. IEEE transactions on pattern **ysis and machine intelligence, 2016, 38(2): 295-307.

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

  Ledig C, Theis L, Huszár F, et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network[C]//CVPR. 2017, 2(3): 4.

       本文作者:内蒙古大学博士、教授、博导刘永信、段添添,

       原文地址:https://www.sdnlab.com/22455.html

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