舰船电子工程2024，Vol.44Issue(1)：33-39,7.DOI:10.3969/j.issn.1672-9730.2024.01.007
基于暗通道先验的多尺度融合去雾算法
A Multi-scale Fusion Defogging Algorithm Based on Dark Channel Priors
摘要
Abstract
At the problems of contrast reduction,tone darkening and overexposure when the traditional dark channel prior (DCP)algorithm is used for image defogging,a multi-scale fusion defogging algorithm based on dark channel prior is proposed in this paper. Firstly,the algorithm uses the image enhancement to enhance the dark part details and then uses the threshold segmenta⁃ tion method to separate the similar white background areas. Then,for large white background and other areas,the brightest channel inverse defogging processing and the dark channel guided defogging processing are respectively carried out. The two parts of the im⁃ age after defogging are initially fused,which effectively improves the unapplicability of dark channel priors in large scale highlight⁃ ed areas. Finally,the Laplacian Pyramid multi-exposure fusion method is used to conduct multi-scale pixel-level fusion of the above two images after defogging,the initial fusion image and the image with fog after guiding dark channel processing,to obtain the final defogging effect. The simulation results show that the proposed algorithm can effectively eliminate the distortion caused by the traditional DCP algorithm when processing the large range and high brightness sky area,improve the target edge details,and re⁃ store the real color of the image scene.关键词
图像增强/图像去雾/暗通道先验/曝光融合Key words
image enhancement/image defogging/dark channel prior/exposure fusion分类
信息技术与安全科学引用本文复制引用
贺文靖,张俊生,景宁,王明泉,成向北..基于暗通道先验的多尺度融合去雾算法[J].舰船电子工程,2024,44(1):33-39,7.基金项目
国家自然科学基金项目(编号:61171177,62105302)资助. （编号:61171177,62105302）
