TFEN: two-stage feature enhancement network for single-image super-resolution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-023-01928-0.pdf
Reference49 articles.
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3. Arun P, Buddhiraju K, Porwal A, Chanussot J (2020) CNN based spectral super-resolution of remote sensing images. Signal Process 169:107394
4. Shi W, Caballero J, Ledig C et al. (2013) Cardiac image super-resolution with global correspondence using multi-atlas PatchMatch. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI), Heidelberg, Berlin, pp 9–16
5. Sajjadi M, Schölkopf B, Hirsch M (2017) EnhanceNet: single image super-resolution through automated texture synthesis. In: IEEE International Conference on Computer Vision (ICCV), Venice, Italy, pp 4501–4510
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