Joint Image Dehazing and Super-Resolution: Closed Shared Source Residual Attention Fusion Network
In real world, due to the existence of floating particles such as smoke and dust in the atmosphere, images taken by camera are susceptible to different levels of blurring, low contrast, color distortion and visual degradation, which would be amplified when enlarging the image resolution. Therefore,...
Main Authors: | Zhuoyuan Yang, Da Pan, Ping Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9497083/ |
Similar Items
-
A Lightweight Dense Connected Approach with Attention on Single Image Super-Resolution
by: Lei Zha, et al.
Published: (2021-05-01) -
Multi-Path Deep CNN with Residual Inception Network for Single Image Super-Resolution
by: Wazir Muhammad, et al.
Published: (2021-08-01) -
Video Super-Resolution via Residual Learning
by: Wenjun Wang, et al.
Published: (2018-01-01) -
Unsupervised Dark-Channel Attention-Guided CycleGAN for Single-Image Dehazing
by: Jiahao Chen, et al.
Published: (2020-10-01) -
Single Image Super Resolution Model Using Learnable Weight Factor in Residual Skip Connection
by: Ruaa A. Al-falluji, et al.
Published: (2019-01-01)