Single image super resolution via wavelet transform fusion and SRFeat network

Author:

Ma Chunyan,Zhu Junwu,Li Yujie,Li Jianru,Jiang Yi,Li Xin

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference27 articles.

1. Dong C, Loy CC, He K et al (2016) Image super resolution using deep convolutional networks. IEEE Trans Pattern Anal Mach Intell 38(2):295–307

2. Goodfellow I, Pouget-Abadie J, Mirza M, Xu B et al (2014) Generative adversarial nets. Neural Inf Process Syst 20:2672–2680

3. Goodfellow I, Bengio Y, Courville A (2016) Deep learning. Adaptive computation and machine learning. MIT Press, London, pp 1–775

4. Haris M, Shakhnarovich G, Ukita N (2018) Deep back-projection networks for super-resolution. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1664–1673

5. Hu C, Zhan S, Wu C (2017) Image super resolution reconstruction based on depth feature learning. J Autom 43(5):814–821

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