中国激光, 2019, 46 (8): 0810003, 网络出版: 2019-08-13   

基于区域对比度约束的暗通道图像去雾 下载: 954次

Image Dehazing of Dark Channels Based on Area Contrast Constraint
作者单位
1 中国科学院安徽光学精密机械研究所大气光学重点实验室, 安徽 合肥 230031
2 中国科学技术大学, 安徽 合肥 230026
摘要
为了保持图像明暗区域的对比度约束,提出了一种改进的暗通道去雾算法;该算法首先将原始图像分割成适当的明暗双区域,并计算相应的对比度比值,再使用基于中值滤波的暗通道去雾算法处理图像暗区域部分,最后利用亮度精确控制的双直方图均衡算法,以最大程度保持区域对比度不变为约束条件,修正图像较亮区域的亮度分布。结果表明:对比相关去雾算法,利用所提算法最终处理后的图像能够在信息熵值、平均梯度和亮度标准差等方面取得明显增益,进一步凸显图像中被雾霾环境所掩盖的细节特征。
Abstract
An improved dark channel dehazing algorithm is proposed to maintain the contrast constraints of the bright and dark areas of an image. According to this algorithm, the original image is first divided into light and dark two areas and the corresponding contrast ratio is calculated. Then, the dark channel dehazing algorithm based on median filtering is used to process the dark area of the image. Finally, the double histogram equalization algorithm with accurate brightness control is used to enhance the brighter area of the image with the constraint that the regional contrast constant is maximized. The results show that compared with that processed by the correlation dehazing algorithm, the final image processed by the proposed algorithm can be significantly improved in terms of information entropy, average gradient and standard deviation of brightness. The proposed algorithm can further highlight the details of the image covered by a hazy environment.

王振东, 靖旭, 孙国栋, 程乙轮, 喻璐璐, 管雯璐, 秦来安, 谭逢富, 张巳龙, 何枫, 侯再红. 基于区域对比度约束的暗通道图像去雾[J]. 中国激光, 2019, 46(8): 0810003. Zhendong Wang, Xu Jing, Guodong Sun, Yilun Cheng, Lulu Yu, Wenlu Guan, Laian Qin, Fengfu Tan, Silong Zhang, Feng He, Zaihong Hou. Image Dehazing of Dark Channels Based on Area Contrast Constraint[J]. Chinese Journal of Lasers, 2019, 46(8): 0810003.

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