Funder
Key Laboratory Fund of Basic Strengthening Program
Changsha Municipal Natural Science Foundation
Basic Science and Technology Research Project of the National Key Laboratory of Science and Technology on Automatic Target Recognition of Scientific Research
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Reference31 articles.
1. Fangzhe, N., Yurong, Q., Yanni, X., et al.: Survey of single image super resolution based on deep learning. Appl. Res. Comput. 37(02), 321–326 (2020)
2. Dong, C., Loy, C.C., He, K. et al.: Learning a deep convolutional network for image super-Resolution. Computer Vision-ECCV 2014. [S.I.]: Springer International Publishing, pp. 184–199 (2014)
3. Kim, J., Lee, J.K., Lee, K.M.: Accurate image super-resolution using very deep convolutional network, pp. 1646–1654 (2015)
4. Zhang, K., Zuo, W., Gu, S. et al.: Learning deep CNN denoiser prior for image restoration. In: Proc of IEEE Conference on Computer Vision and Pattern Recognition, pp. 2808–2817 (2017)
5. Tai, Y., Yang, J., Liu, X. et al.: MemNet:a persistent memory network for image restoration. In: Proc of IEEE International Conference on Computer Vision.[S.I.]: IEEEComputer Society, pp. 4549–4557 (2017)
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