A Non-Local Enhanced Network for Image Restoration

Non-local modules have been widely studied in image restoration (IR) tasks since they can learn long-range dependencies to enhance local features. However, most existing non-local modules still focus on extracting long-range dependencies within a single image or feature map. On the other hand, most...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE access 2022, Vol.10, p.29528-29542
Hauptverfasser:	Huang, Yuan, Hou, Xingsong, Dun, Yujie, Chen, Zan, Qian, Xueming
Format:	Artikel
Sprache:	eng
Schlagworte:	Data mining Extractors Feature extraction Feature maps Formability Image compression Image denoising Image enhancement Image resolution Image restoration JPEG artifacts removal Modules Noise reduction non-local information real image denoising real image super resolution synthetic image denoising Task analysis Transform coding
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!