DSMA: Reference-Based Image Super-Resolution Method Based on Dual-View Supervised Learning and Multi-Attention Mechanism

DSMA: Reference-Based Image Super-Resolution Method Based on Dual-View Supervised Learning and Multi-Attention Mechanism

Reference image based super-resolution methods (RefSR) have made rapid and remarkable progress in the field of image super-resolution (SR) in recent years by introducing additional high-resolution (HR) images to enhance the recovery of low-resolution (LR) images. The existing RefSR methods can rely...

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Bibliographic Details
Main Authors: Xin Liu, Jing Li, Tingting Duan, Jiangtao Li, Ye Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Computer vision
image enhancement
image reconstruction
machine learning
super resolution
Online Access:https://ieeexplore.ieee.org/document/9772484/

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