Enhanced edge feature extraction dual branch fusion network for real image dehazing
|更新时间:2025-01-08
|
Enhanced edge feature extraction dual branch fusion network for real image dehazing
“The latest research proposes the EDFDNet dehazing network, which effectively improves the authenticity and visibility of non-uniform haze images.”
Optics and Precision EngineeringPages: 1-15(2025)
作者机构:
昆明理工大学 民航与航空学院,云南 昆明 650500
作者简介:
E-mail: 77183118@qq.com
基金信息:
DOI:
CLC:
Received:26 August 2024,
Revised:30 September 2024,
Published Online:08 January 2025,
稿件说明:
移动端阅览
李雄心,夏丰领,张靠民等.强化边缘特征提取的双分支融合真实图像去雾[J].光学精密工程,
LI Xiongxin,XIA Fengling,ZHANG Kaomin,et al.Enhanced edge feature extraction dual branch fusion network for real image dehazing[J].Optics and Precision Engineering,
LI Xiongxin,XIA Fengling,ZHANG Kaomin,et al.Enhanced edge feature extraction dual branch fusion network for real image dehazing[J].Optics and Precision Engineering,DOI:10.37188/OPE.XXXXXXXX.0001
Enhanced edge feature extraction dual branch fusion network for real image dehazing