An Effective Multi-Task Two-Stage Network with the Cross-Scale Training Strategy for Multi-Scale Image Super Resolution

An Effective Multi-Task Two-Stage Network with the Cross-Scale Training Strategy for Multi-Scale Image Super Resolution

Convolutional neural networks and the per-pixel loss function have shown their potential to be the best combination for super-resolving severely degraded images. However, there are still challenges, such as the massive number of parameters requiring prohibitive memory and vast computing and storage...

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Bibliographic Details
Main Authors: Jucheng Yang, Feng Wei, Yaxin Bai, Meiran Zuo, Xiao Sun, Yarui Chen
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Electronics
Subjects:
CNN
per-pixel loss
HVS
EMTCM
multi-task co-optimization
cross-scale training
Online Access:https://www.mdpi.com/2079-9292/10/19/2434

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