计算机工程与应用2019，Vol.55Issue(3)：196-201,6.DOI:10.3778/j.issn.1002-8331.1711-0105
基于补偿暗通道和透射率融合的图像去雾算法
Image Haze Removal Algorithm Based on Compensation of Dark Channel and Transmission Fusion
摘要
Abstract
Aiming at the problem of not eliminating the fog thoroughly and estimating transmission inaccurately of dark channel priori algorithm, the haze removal algorithm based on the compensating dark channel and transmission fusion is proposed. In this method, the median filter is used to compensate the dark channel to solve the problem that the edge details of the restored image are not conspicuous. Then, the simple and fuzzy estimation of transmission are obtained by compensating for the dark channel and white balance respectively, and they are merged at the pixel-level to obtain accurate estimation of the transmission.Finally, the haze-free image is recovered according to the atmospheric scattering model. The experimental results show that the proposed algorithm achieves a more accurate transmission rate. The reconstructed image which effectively eliminates the residual fog and Halo phenomenon has a good color fidelity in the sky region, and also improves the computational speed effectively.关键词
暗通道/补偿算法/白平衡/图像融合Key words
dark channel/compensation algorithm/white balance/image fusion分类
信息技术与安全科学引用本文复制引用
李一菲,杨燕,张国强..基于补偿暗通道和透射率融合的图像去雾算法[J].计算机工程与应用,2019,55(3):196-201,6.基金项目
国家自然科学基金(No.71572148) （No.71572148）
航空科学基金(No.2015ZG53080) （No.2015ZG53080）
中国博士后科学基金(No.2015M580875, No.2016T90947). （No.2015M580875, No.2016T90947）
