光子学报, 2018, 47 (4): 0410004, 网络出版: 2018-03-15   

基于小递归卷积神经网络的图像超分辨算法

Image Super-resolution Based on Tiny Recurrent Convolutional Neural Network
作者单位
浙江大学 光电工程与信息学院 现代光学仪器国家重点实验室, 杭州 310027
引用该论文

马昊宇, 徐之海, 冯华君, 李奇, 陈跃庭. 基于小递归卷积神经网络的图像超分辨算法[J]. 光子学报, 2018, 47(4): 0410004.

MA Hao-yu, XU Zhi-hai, FENG Hua-jun, LI Qi, CHEN Yue-ting. Image Super-resolution Based on Tiny Recurrent Convolutional Neural Network[J]. ACTA PHOTONICA SINICA, 2018, 47(4): 0410004.

参考文献

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马昊宇, 徐之海, 冯华君, 李奇, 陈跃庭. 基于小递归卷积神经网络的图像超分辨算法[J]. 光子学报, 2018, 47(4): 0410004. MA Hao-yu, XU Zhi-hai, FENG Hua-jun, LI Qi, CHEN Yue-ting. Image Super-resolution Based on Tiny Recurrent Convolutional Neural Network[J]. ACTA PHOTONICA SINICA, 2018, 47(4): 0410004.

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