Image super-resolution reconstruction based on multi-scale dual-attention
Author:
Affiliation:
1. College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an, China
Funder
Natural Science Basis Research Plan in Shaanxi Province of China
High-level Talent Introduction Project of Shaanxi Technical College of Finance and Economics
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2023.2182487
Reference51 articles.
1. Three-Dimensional Video Super-Resolution Reconstruction Scheme Based on Histogram Matching and Recursive Bayesian Algorithms
2. Blau Y. Mechrez R. Timofte R. Michaeli T. & Zelnik-Manor L. (2018). The 2018 pirm challenge on perceptual image super-resolution. Proceedings of the European conference on computer vision (ECCV) workshops (pp. 1–22).
3. Chan K Wang X. Yu K. Dong C. & Loy C.C. (2021). BasicVSR: The search for essential components in video super-resolution and beyond. Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 4947–4956).
4. Image super-resolution reconstruction based on feature map attention mechanism
5. Choi Y. J. Lee Y. W. & Kim B. G. (2021). Wavelet attention embedding networks for video super-resolution. 2020 25th International conference on pattern recognition (ICPR) (pp. 7314–7320).
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