江汉大学学报（自然科学版）2025，Vol.53Issue(3)：86-96,11.DOI:10.16389/j.cnki.cn42-1737/n.2025.03.010
基于曲线估计和注意力特征融合的单幅图像去雾网络
Single-image Defogging Network Based on Curve Estimation and Attentional Feature Fusion
摘要
Abstract
A single-image defogging network based on curve estimation and attention feature fusion was proposed to address the problems of poor generation quality and low contrast of most single-image defogging algorithm models based on end-to-end learning.The proposed model mainly consisted of the curve feature estimation module and the defogging module.In the curve estimation module,a codec network was designed to extract the curve feature map in the foggy image,and a simple quadratic curve was designed to enhance the exposure of the foggy image.In the defogging module,we improved the model's performance and generalization ability by introducing spatial and channel attention mechanisms to adaptively adjust the importance of different spatial locations and channels,respectively,to improve the model's perception of different locations.The experimental results showed that the proposed method performed better than other defogging algorithms on both PSNR and SSIM with reference evaluation metrics and FADE and NIQE without reference evaluation metrics.关键词
图像去雾/曲线估计/曝光增强/注意力机制Key words
image defogging/curve estimation/exposure enhancement/attention mechanism分类
信息技术与安全科学引用本文复制引用
谢承,刘威..基于曲线估计和注意力特征融合的单幅图像去雾网络[J].江汉大学学报（自然科学版）,2025,53(3):86-96,11.基金项目
湖北省科技计划项目(2021BLB172) （2021BLB172）
