Unsupervised Low Illumination Image Enhancement Based on Channel Attention and Illumination Weights

您当前的位置：

首页 >

文章列表页 >

更新时间：2024-03-21

- Unsupervised Low Illumination Image Enhancement Based on Channel Attention and Illumination Weights
- “VARRNet无监督低照度图像增强技术，有效提升亮度、保留细节、消除伪影和光晕。”
- Software Guide Vol. 23, Issue 7, Pages: 167-173(2024)
- 作者机构：
  
  1.陕西科技大学陕西省人工智能联合实验室
  2.陕西科技大学电子信息与人工智能学院，陕西西安 710021
  3.兰州交通大学电子与信息工程学院，甘肃兰州 730070
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.231462
  CLC： TP391.41
- Published：15 July 2024，
  
  Received：05 May 2023，
- 稿件说明：
移动端阅览
杨猛,杜晓刚,张学军等.基于通道注意力与光照权重的无监督低照度图像增强[J].软件导刊,2024,23(07):167-173.

YANG Meng,DU Xiaogang,ZHANG Xuejun,et al.Unsupervised Low Illumination Image Enhancement Based on Channel Attention and Illumination Weights[J].Software Guide,2024,23(07):167-173.
杨猛,杜晓刚,张学军等.基于通道注意力与光照权重的无监督低照度图像增强[J].软件导刊,2024,23(07):167-173. DOI： 10.11907/rjdk.231462.

YANG Meng,DU Xiaogang,ZHANG Xuejun,et al.Unsupervised Low Illumination Image Enhancement Based on Channel Attention and Illumination Weights[J].Software Guide,2024,23(07):167-173. DOI： 10.11907/rjdk.231462.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Peer Review Sentiment Classification Based on BERT-MSCNN

Survey of Text Clustering Technology

Non-rigid 3D Reconstruction Based on Deep Learning

Related Author

WU Zhuang

CHAO Rongzhi

CHEN Xiangguo

WEI Zhongcheng

ZHAO Jijun

FAN Zhen

SHI Shui-cai

DU Yun-cheng

Related Institution

School of Information and Electrical Engineering, Hebei University of Engineering

Hebei Key Laboratory of Security Information Perception and Processing

School of Computer Science， Beijing Information Science and Technology University

School of Information，Zhejiang University of Technology

⁰