您当前的位置:
首页 >
文章列表页 >
Wavelet dehazeformer network for road traffic image dehazing method
Information Sciences | 更新时间:2024-07-26
    • Wavelet dehazeformer network for road traffic image dehazing method

    • The latest research proposes the wavelet DehazeFormer model, which effectively improves the contrast and details of traffic fog images and reduces blur distortion.
    • Optics and Precision Engineering   Vol. 32, Issue 12, Pages: 1915-1928(2024)
    • DOI:10.37188/OPE.20243212.1915    

      CLC: TP183;TP391.41
    • Received:05 March 2024

      Revised:19 April 2024

      Published:25 June 2024

    移动端阅览

  • XIA Ping,LI Ziyi,LEI Bangjun,et al.Wavelet dehazeformer network for road traffic image dehazing method[J].Optics and Precision Engineering,2024,32(12):1915-1928. DOI: 10.37188/OPE.20243212.1915.

  •  
  •  

0

Views

73

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

Multi-feature cross UAV image detection algorithm under cross-layer attentional interaction
Multi-scale decomposition of point cloud data based on wavelet transform
Coarse-to-fine underwater image enhancement based on multi-level wavelet transform
MEMS gyro signal reconstruction via layerwise and adaptive MP
Application of wavelet denoising in distributed optical fiber interferometric vibration detection and location system

Related Author

ZHANG Zhihao
DU Lixia
HOU Yue
HAO Ziwei
YIN Jie
GAO Kaiyuan
LIU Lei
CUI Haihua

Related Institution

College of Electronic and Information Engineering, Lanzhou Jiaotong University
Beijing Institute of Aerospace Metrology and Testing Technology
College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics and Astronautics
Department of Information Engineering, Institute of Disaster Prevention
Department of emergency management, Institute of Disaster Prevention
0