Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution

Benefiting from the strong capabilities of deep CNNs for feature representation and nonlinear mapping, deep-learning-based methods have achieved excellent performance in single image super-resolution. However, most existing SR methods depend on the high capacity of networks that are initially design...

Description complète

Détails bibliographiques

Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 30(2021) vom: 01., Seite 2325-2339
Auteur principal:	Huang, Yuanfei (Auteur)
Autres auteurs:	Li, Jie, Gao, Xinbo, Hu, Yanting, Lu, Wen
Format:	Article en ligne
Langue:	English
Publié:	2021
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article