您当前的位置：
首页 >
文章列表页 >
Image defogging based on superpixel segmentation and fusion of dark and light channel
Image Processing | 更新时间：2025-08-13

    • Image defogging based on superpixel segmentation and fusion of dark and light channel

    • “In the field of image dehazing, a new method based on superpixel segmentation and dark bright channel fusion has been proposed, which effectively improves color saturation and brightness balance, and performs better than existing technologies.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 8, Pages: 1177-1188(2025)

    • DOI：10.37188/CJLCD.2025-0061    

      CLC： TP391
    • CSTR：32172.14.CJLCD.2025-0061    

    • Received：20 March 2025，

      Revised：27 May 2025，

      Published：05 August 2025

    移动端阅览

  • MA Ning, CHANG Xia, ZHANG Weibing. Image defogging based on superpixel segmentation and fusion of dark and light channel[J]. Chinese journal of liquid crystals and displays, 2025, 40(8): 1177-1188. DOI： 10.37188/CJLCD.2025-0061. CSTR： 32172.14.CJLCD.2025-0061.

  •  
  •  

0

Views

70

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

Aerial image defogging based on dual-threshold position and transmittance constraint
Sand-dust image enhancement based on Lab color space
Dehazing stray light algorithm for fundus retinal image
Image defogging algorithm based on multi-scale residual feature fusion

Related Author

ZHANG Weibing
CHANG Xia
MA Ning
Wei-peng WANG
Wen-jie XIANG
Sheng-kui DAI
ZHANG Hongzhu
NIU Hongxia

Related Institution

Ningxia Key Laboratory of Intelligent Information and Big Data Processing， Northern Minzu University
School of Computer Science and Engineering， North Minzu University
School of Mathematics and Information Science， North Minzu University
College of Optical and Electronical Information, Minnan Science and Technology University
College of Information Science and Engineering, Huaqiao University
0