Image dehazing with uneven illumination prior by dense residual channel attention network-Reference-Cited by-同舟云学术

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Image dehazing with uneven illumination prior by dense residual channel attention network

Published:2020-10-05 Issue:13 Volume:14 Page:3260-3272
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Yin Shibai¹²³,Xin Jin¹,Wang Yibin⁴⁵,Basu Anup⁵

Affiliation:

1. Southwestern University of Finance and EconomicsDepartment of of Economics and Information EngineeringChengduPeople's Republic of China

2. Key Laboratory of Financial Intelligence and Financial Engineering of Sichuan ProvinceSouthwestern University of Finance and EconomicsChengdu611130People's Republic of China

3. Collaborative Innovation Center for the Innovation and Regulation of Internet‐based FinanceSouthwestern University of Finance and EconomicsChengdu611130People's Republic of China

4. Sichuan Normal UniversityDepartment of EngineeringChengduPeople's Republic of China

5. Department of Computing ScienceUniversity of AlbertaEdmontonCanada

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.0873

Reference45 articles.

1. Computer vision system for froth-middlings interface level detection in the primary separation vessels

2. Scene‐aware image dehazing based on sky‐segmented dark channel prior

3. A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images

4. Efficient Combination of Texture and Color Features in a New Spectral Clustering Method for PolSAR Image Segmentation

5. A constrained total variation model for single image dehazing

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2. HessHist: A Hessian‐matrix weighted histogram for image contrast enhancement;IET Image Processing;2022-02-19

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