基于改进多尺度Retinex理论的海上图像去雾算法  

Marine image dehazing algorithm based on improved Multi-scale Retinex theory

作　　者：王宇勃 甄荣[1] WANG Yubo;ZHEN Rong(Navigation College,Jimei University,Xiamen 361021,China)

机构地区：[1]集美大学航海学院,福建厦门361021

出　　处：《中国航海》2024年第1期155-161,共7页Navigation of China

基　　金：国家自然科学基金(52001134);福建省自然科学基金(2020J01661)。

摘　　要：针对传统去雾算法在海雾环境下处理得到的图像细节丢失、亮度偏暗及色彩失真等问题,提出了一种基于Retinex理论的海上图像去雾算法。首先,将图像转换到HSV空间,通过改进的多尺度Retinex增强算法对V通道单独处理获得照射分量。其次,将照射分量经过对数运算获得反射分量,与归一化处理后的H和S通道合并获得图像基础层。最后,通过引导滤波获得图像细节层,并与基础层合并进行自动白平衡处理,得到最终结果图像。试验证明,与暗通道先验算法及传统多尺度视网膜增强算法相比,提出的算法在标准差、平均梯度、峰值信噪比及结构相似性等评价指标方面均有所提升,海雾图像去雾质量得到有效增强,对提高海雾环境下船舶通航效率具有重要意义。Conventional dehazing algorithm may cause detail loss,low brightness,and color distortion when it processes a marine image.A dehazing algorithm based on Retinex theory is introduced to solve the problems.The image is transformed into HSV(Hue-Saturation-Value)space before processing.The improved Multi-scale Retinex(MSR)algorithm is used to process V channel and obtain the illumination component.The reflex component is obtained by logarithmic operation.The latter is combined with the normalized H and S channel to obtain the image base layer.The image detail layer is obtained through guided filtering and combined with the base layer for automatic white balance processing to produce final result image.Experiments show that,compared to Dark Channel Prior algorithm and conventional MSR algorithm,the dehazed image produced by the improved MSR is superior in standard deviation,average gradient,peak signal to noise ratio and structural similarity.

关 键 词：RETINEX理论 多尺度Retinex增强算法 HSV空间 引导滤波 自动白平衡 

分 类 号：U6-9[交通运输工程—船舶与海洋工程]