Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer

no code implementations • 27 Dec 2023 • Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Kaiyuan Jiang, Zhengmi Tang, Shinichiro Omachi

Conclusions: In this study, we propose a novel framework called $O^{2}$former for radiological image super-resolution tasks, which improves the reconstruction model's performance by introducing an orientation operator and multi-scale feature fusion strategy.

Denoising Image Enhancement +1