南京邮电大学学报（自然科学版）2025，Vol.45Issue(3)：8-17,10.DOI:10.14132/j.cnki.1673-5439.2025.03.002
基于局部线性和系数分片常数的全变差图像去雾算法
A total variation image dehazing algorithm based on local linearity and piecewise constant coefficients
摘要
Abstract
In order to effectively retain the details of hazy images,like edge structures,and avoid color distortion during dehazing,this paper introduces the total variation of local window coefficients and the total variation of the original image,and proposes a total variation image dehazing model based on local linearity and piecewise constant coefficients.Further,we design a fast numerical algorithm for the model by combining the alternating direction multipliers method.Finally,dehazing experiments conducted on synthetic images and real-world scene images demonstrate that,compared with the current mainstream dehazing algorithms,the proposed algorithm exhibits superior performance in both numerical indicators and visual effects.关键词
图像去雾/全变差/局部线性/分片常数Key words
image dehazing/total variation/local linearity/piecewise constant分类
信息技术与安全科学引用本文复制引用
金正猛,方婷..基于局部线性和系数分片常数的全变差图像去雾算法[J].南京邮电大学学报（自然科学版）,2025,45(3):8-17,10.基金项目
国家自然科学基金(12271262)资助项目 （12271262）
