Attention‐based multi‐channel feature fusion enhancement network to process low‐light images-Reference-Cited by-同舟云学术

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Attention‐based multi‐channel feature fusion enhancement network to process low‐light images

Published:2022-06-25 Issue:12 Volume:16 Page:3374-3393
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Xu Xintao¹²,Li Jinjiang³²^ORCID,Hua Zhen¹²^ORCID,Fan Linwei⁴

Affiliation:

1. School of Information and electronic engineering Shandong Technology and Business University Yantai China

2. Institute of Network Technology(INT) Yantai China

3. School of Computer Science and Technology Shandong Technology and Business University Yantai China

4. School of Computer Science and Technology Shandong University of Finance and Economics Jinan China

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/ipr2.12571

Reference60 articles.

1. An object tracking framework with recapture based on correlation filters and Siamese networks

2. Sparse Common Feature Representation for Undersampled Face Recognition

3. MIND-Net: A Deep Mutual Information Distillation Network for Realistic Low-Resolution Face Recognition

4. Underwater image enhancement with global–local networks and compressed-histogram equalization

5. Medical Image Enhancement Algorithm Based on Histogram Equalization and Dyadic Wavelet Transform

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