Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing,Software
Reference35 articles.
1. Cao, Y., He, Z., Ye, Z., et al. (2019). Fast and accurate single image super-resolution via an energy-aware improved deep residual network [J]. Signal Processing, 162, 115–125.
2. Chang, H., Yeung, D. Y., & Xiong, Y. (2004). Super-resolution through neighbor embedding[C]. In: Proceedings of the 2004 In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004. IEEE, vol. 1, pp. I–I.
3. Dai, T., Cai, J., Zhang, Y., et al. (2019) Second-order attention network for single image super-resolution[C]. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 11065–11074.
4. Dong, C., Loy, CC., He, K., et al. (2014). Learning a deep convolutional network for image super-resolution[C]. In: European Conference on Computer Vision. Springer, Cham pp. 184–199.
5. Dong, C., Loy, C. C., & Tang X. (2016). Accelerating the super-resolution convolutional neural network[C]. In: European Conference on Computer Vision. Springer, Cham, pp. 391–407.
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