计算机应用与软件2017，Vol.34Issue(3)：148-153,6.DOI:10.3969/j.issn.1000-386x.2017.03.027
基于线性加权的自适应图像去雾算法
THE SELF-ADAPTIVE IMAGE DEHAZING ALGORITHM BASED ON LINEAR WEIGHTING
摘要
Abstract
In haze weather, the effect of atmospheric scattering lead to the missing of the image information.Thus, the self-adaptive image dehazing algorithm based on linear weighting is proposed on the basis of the principle of dark channel prior.Firstly, during the calculation of dark channel function, the proposed approach adopts an improved method to generate the accurate dark primary picture, and uses the image sharpening technique keep the boundary characteristics of the object.Then, aiming at the over-high contrast of recovered image, a self-adaptive linear weighting method is defined to calculate the accurate values of atmospheric light intensity, ensuring that the transmittance picture of actual scene is obtained.The experimental results show that the proposed approach can reliably achieve image dehazing with good quality and efficiency.关键词
图像去雾/线性加权/窗口大小/暗通道先验Key words
Image Dehazing/Linear weighted method/Size of window/Dark channel prior分类
信息技术与安全科学引用本文复制引用
崔靖茹,李晨,潘宁,吴倩雯..基于线性加权的自适应图像去雾算法[J].计算机应用与软件,2017,34(3):148-153,6.基金项目
国家自然科学基金青年基金项目(61403302). （61403302）
