Deep Networks for Single Image Super-Resolution with Multi-context Fusion-Reference-Cited by-同舟云学术

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Deep Networks for Single Image Super-Resolution with Multi-context Fusion

Published:2017 Issue: Volume: Page:397-407
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Hui Zheng,Wang Xiumei,Gao Xinbo

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-319-71607-7_35

Reference15 articles.

1. Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. TPAMI 38(2), 295–307 (2015)

2. Wang, Z., Liu, D., Yang, J., Han, W., Huang, T.: Deep networks for image super-resolution with sparse prior. In: ICCV, pp. 370–378 (2015)

3. Kim, J., Lee, J.K., Lee, K.M.: Accurate image super-resolution using very deep convolutional networks. In: CVPR, pp. 1646–1654 (2016)

4. Lecture Notes in Computer Science;C Dong,2016

5. He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. In: ICCV (2015)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Zero-Shot Ultrasound Nondestructive Testing Image Super-Resolution Based on Reflection Projection;Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021);2022

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