SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.
Tong ZhengHirohisa OdaYuichiro HayashiShota NakamuraMasaki MoriHirotsugu TakabatakeHiroshi NatoriMasahiro OdaKensaku MoriPublished in: Int. J. Comput. Assist. Radiol. Surg. (2024)
Keyphrases
- super resolution
- image dataset
- high resolution
- low resolution
- image database
- image annotation
- image reconstruction
- automatic classification
- low resolution images
- image collections
- resolution enhancement
- generative model
- high resolution images
- super resolution reconstruction
- high quality
- motion estimation
- multi frame
- image super resolution
- higher resolution
- super resolved
- feature vectors
- image understanding
- image analysis
- three dimensional
- active learning
- image processing
- remote sensing
- machine learning