TDPN : Texture and Detail-Preserving Network for Single Image Super-Resolution

Single image super-resolution (SISR) using deep convolutional neural networks (CNNs) achieves the state-of-the-art performance. Most existing SISR models mainly focus on pursuing high peak signal-to-noise ratio (PSNR) and neglect textures and details. As a result, the recovered images are often perc...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 31(2022) vom: 03., Seite 2375-2389
1. Verfasser: Cai, Qing (VerfasserIn)
Weitere Verfasser: Li, Jinxing, Li, Huafeng, Yang, Yee-Hong, Wu, Feng, Zhang, David
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article