您当前的位置:
首页 >
文章列表页 >
Fast and robust low-light image enhancement based on iterative propagation network
Image Processing | 更新时间:2023-07-27
    • Fast and robust low-light image enhancement based on iterative propagation network

    • In the field of low light image enhancement, this work designed an iterative propagation network, which significantly improved image quality and inference speed through a multi-stage prediction model and Retinex based iterative loop. The experimental results show that this method outperforms existing algorithms in peak signal-to-noise ratio and structural similarity, providing an effective solution for enhancing low light images in complex scenes.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 7, Pages: 971-979(2024)
    • DOI:10.37188/CJLCD.2023-0199    

      CLC: TP391
    • Received:29 May 2023

      Revised:03 July 2023

      Published:05 July 2024

    移动端阅览

  • XIAO Zhibo, JIANG Zhilong, KONG Yan. Fast and robust low-light image enhancement based on iterative propagation network[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 971-979. DOI: 10.37188/CJLCD.2023-0199.

  •  
  •  

0

Views

119

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Improved neural network nonuniformity correction algorithm based on side window filter
FRKDNet: feature refine semantic segmentation network based on knowledge distillation
Research progress of virtual view rendering technology for light field display
Eye fatigue assessment method for naked eye 3D display based on multiple eye movements

Related Author

XIAO Zhi-bo
JIANG Zhi-long
SUN Hai-jiang
WANG Yu-qing
LI Ming-qing
FAN Run-ze
LI Dan-yang
XU Yang

Related Institution

University of Chinese Academy of Sciences
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
College of Big Data and Information Engineering, Guizhou University
Guiyang Aluminum-magnesium Design and Research Institute Co.Ltd.
School of Electronic Science and Engineering, Southeast University
0