计算机工程Issue(2)：240-245,6.DOI:10.3969/j.issn.1000-3428.2014.02.052
野外视频监控图像去雾算法研究
Research on Image Defogging Algorithm of Field Video Surveillance
摘要
Abstract
In field conditions, the scattering effect of atmospheric particles leads to serious image degradation and seriously influences the visual effect and application value, which makes it absolutely necessary to defog the image, so as to improve the definition and fidelity. Based on the principle of dark channel priority, this paper uses the region growth algorithm to accurately estimate the depth information of the fog image, and uses the fog image physical model to defog the image and compensate the luminance of the image. Experimental result shows that the algorithm efficiently improves image quality and greatly reduces the time needed in the image fog removal process compared.关键词
雾天图像物理模型/暗原色先验/区域生长/大气光/高斯平滑/图像去雾Key words
fog image physical model/dark channel priority/region growth/atmospheric light/Gaussian smooth/image defogging分类
信息技术与安全科学引用本文复制引用
桓宗圣,陶青川,田旺..野外视频监控图像去雾算法研究[J].计算机工程,2014,(2):240-245,6.基金项目
国家自然科学基金资助项目(61071161) （61071161）
