High-resolution (HR) magnetic resonance images (MRI) provide detailed anatomical information important for clinical application and quantitative image analysis. However, HR …
High-resolution (HR) magnetic resonance imaging (MRI) provides detailed anatomical information that is critical for diagnosis in the clinical application. However, HR MRI typically …
J Shi, Z Li, S Ying, C Wang, Q Liu… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Spatial resolution is a critical imaging parameter in magnetic resonance imaging. The image super-resolution (SR) is an effective and cost efficient alternative technique to improve the …
Abstract Generative Adversarial Networks (GANs) have been widely used to recover vivid textures in image super-resolution (SR) tasks. In particular one discriminator is utilized to …
X Zhao, Y Zhang, T Zhang, X Zou - IEEE transactions on image …, 2019 - ieeexplore.ieee.org
High resolution magnetic resonance (MR) imaging is desirable in many clinical applications due to its contribution to more accurate subsequent analyses and early clinical diagnoses …
J Liu, W Zhang, Y Tang, J Tang… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Recently, very deep convolutional neural networks (CNNs) have shown great power in single image super-resolution (SISR) and achieved significant improvements against …
L Lu, W Li, X Tao, J Lu, J Jia - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Reference-based image super-resolution (RefSR) has shown promising success in recovering high-frequency details by utilizing an external reference image (Ref). In this task …
Recently, transformer-based methods have demonstrated impressive results in various vision tasks, including image super-resolution (SR), by exploiting the self-attention (SA) for …
Learning continuous image representations is recently gaining popularity for image super- resolution (SR) because of its ability to reconstruct high-resolution images with arbitrary …