您当前的位置:
首页 >
文章列表页 >
Correction of vignetting images based on Retinex-Net network model
Image Processing | 更新时间:2024-07-26
    • Correction of vignetting images based on Retinex-Net network model

    • In the field of image processing, this study improves the Retinex Net network model to address the impact of vignetting on machine vision performance. By adding dilated convolutions and improving image denoising, the correction performance is effectively enhanced, providing a new solution for improving image quality.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 7, Pages: 929-938(2024)
    • DOI:10.37188/CJLCD.2023-0194    

      CLC: TP391.41
    • Received:25 May 2023

      Revised:20 June 2023

      Published:05 July 2024

    移动端阅览

  • HUANG Dandan, WANG Fei, LIU Zhi, et al. Correction of vignetting images based on Retinex-Net network model[J]. Chinese journal of liquid crystals and displays, 2024, 39(7): 929-938. DOI: 10.37188/CJLCD.2023-0194.

  •  
  •  

0

Views

222

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

Remote sensing image land feature segmentation method based on lightweight DeepLabV3+
Hyperspectral image classification based on multi-branch spatial-spectral feature enhancement
Underwater image enhancement method based on improved conditions generate adversarial networks
Technical research of composite residual network in low illumination image enhancement

Related Author

Wang Hui-ji
Huang Dan-dan
Wang Fei
Liu Zhi
Gao Han
MA Jing
GUO Zhonghua
MA Zhiqiang

Related Institution

Changchun University of Technology Space Optoelectronics Technology National and Local Joint Engineering Research Center
Ningxia Key Lab on Information Sensing & Intelligent Desert, Ningxia University
School of Physics and Electronic-Electrical Engineering, Ningxia University
School of Electronic and Information Engineering, Liaoning Technical University
School of Electronic Information Engineering, Changchun University of Science and Technology
0