Underwater Image Restoration and Enhancement via Residual Two-Fold Attention Networks

Underwater Image Restoration and Enhancement via Residual Two-Fold Attention Networks

Underwater images or videos are common but essential information carrier for observation, fishery industry and intelligent analysis system in underwater vehicles. But underwater images are usually suffering from more complex imaging interfering impacts. This paper describes a novel residual two-fold...

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Bibliographic Details
Main Authors: Bo Fu, Liyan Wang, Ruizi Wang, Shilin Fu, Fangfei Liu, Xin Liu
Format: Article
Language:English
Published: Atlantis Press 2020-11-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Deep residual network
Underwater image restoration
Nonlocal attention
Channel attention
Image de-noising
Image color enhancement
Online Access:https://www.atlantis-press.com/article/125945762/view

Internet

https://www.atlantis-press.com/article/125945762/view

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