红外技术2026，Vol.48Issue(4)：458-467,10.
基于对比度增强与非均匀大气散射模型的图像去雾
Image Dehazing Based on Contrast Enhancement and Non-uniform Atmospheric Scattering Model
摘要
Abstract
To overcome the limitations of the dark channel prior dehazing algorithm,such as color distortion and Halo artifacts,this study proposes an image dehazing method based on contrast enhancement and a non-uniform atmospheric scattering model.First,the hazy image undergoes adaptive histogram equalization with color preservation to enhance contrast and color saturation.Second,considering the non-uniform distribution of atmospheric light,a non-uniform atmospheric light estimation strategy is introduced.A coarse estimation is initially obtained and subsequently refined using a guided filter.The transmission map is further optimized using a weighted least squares filter to suppress block artifacts while preserving image details.Finally,the dehazed image is reconstructed using the non-uniform atmospheric scattering model.Both qualitative and quantitative experimental results show that the algorithm effectively removes haze,producing images with natural color representation and clear,detailed textures,outperforming existing methods.关键词
图像去雾/对比度增强/非均匀大气散射模型/暗通道先验Key words
image dehazing/contrast enhancement/non-uniform atmospheric scattering model/dark channel prior分类
信息技术与安全科学引用本文复制引用
孙海英,王晓云,孔佳利,郑明辉..基于对比度增强与非均匀大气散射模型的图像去雾[J].红外技术,2026,48(4):458-467,10.基金项目
山东省高等学校特色实验室-智能制造工程实验室(PT2025KJS002) （PT2025KJS002）
辽宁省教育厅资助项目(LJKMZ20220601). （LJKMZ20220601）
