Multi-Scale Pixel-Attention Feedback Link Network for Single Image Super-Resolution-Reference-Cited by-同舟云学术

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Multi-Scale Pixel-Attention Feedback Link Network for Single Image Super-Resolution

Published:2022-06 Issue:2 Volume:32 Page:393-401
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Ge Yanliang,Tan Shuang,Bi Hongbo,Sun Xiaoxiao

Publisher

Pleiades Publishing Ltd

Subject

Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1134/S1054661822020092.pdf

Reference28 articles.

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2. H. Chen, X. He, L. Qing, Y. Wu, C. Ren, R. E. Sheriff, and C. Zhu, “Real-world single image super-resolution: A brief review,” Inf. Fusion 79, 124–145 (2022). https://doi.org/10.1016/j.inffus.2021.09.005

3. L. Chengming, D. Junyi, and P. Haibo, “A single image super-resolution algorithm based on dense residual convolutional network,” Pattern Recognit. Image Anal. 31, 1–6 (2021). https://doi.org/10.1134/S1054661821010053

4. C. Dong, C. C. Loy, K. He, and X. Tang, “Image super-resolution using deep convolutional networks,” IEEE Trans. Pattern Anal. Mach. Intell. 38, 295–307 (2016). https://doi.org/10.1109/TPAMI.2015.2439281

5. C. Dong, C. C. Loy, and X. Tang, “Accelerating the super-resolution convolutional neural network,” in Computer Vision – ECCV 2016, Ed. by B. Leibe, J. Matas, N. Sebe, and M. Welling, Lecture Notes in Computer Science, vol. 9906 (Springer, Cham, 2016), pp. 391–407. https://doi.org/10.1007/978-3-319-46475-6_25

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