Dual-Stream Complex-Valued Convolutional Network for Authentic Dehazed Image Quality Assessment-Reference-Cited by-同舟云学术

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Dual-Stream Complex-Valued Convolutional Network for Authentic Dehazed Image Quality Assessment

Published:2024 Issue: Volume:33 Page:466-478
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Guan Tuxin¹,Li Chaofeng¹^ORCID,Zheng Yuhui²^ORCID,Wu Xiaojun³^ORCID,Bovik Alan C.⁴^ORCID

Affiliation:

1. Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China

2. College of Computer, Qinghai Normal University, Xining, China

3. School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China

4. Laboratory for Image and Video Engineering (LIVE), The University of Texas at Austin, Austin, TX, USA

Funder

National Natural Science Foundation of China

Shanghai Maritime University Graduate Top-Notch Innovative Talent Cultivation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10375348.pdf?arnumber=10375348

Reference54 articles.

1. Three-Channel Infrared Imaging for Object Detection in Haze

2. Single Image Haze Removal Using Dark Channel Prior

3. DehazeNet: An End-to-End System for Single Image Haze Removal

4. Deep Multi-Scale Gabor Wavelet Network for Image Restoration

5. DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing

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1. Contrastive adaptive frequency decomposition network guided by haze discrimination for real-world image dehazing;Displays;2024-04

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