融合彩色增强信息的暗通道去雾方法  

A Dark Channel Dehazing Method Fused with Color Enhancement Information

作　　者：张炜炳 常霞[2] 汪德财 ZHANG Weibing;CHANG Xia;WANG Decai(North Minzu University,School of Math and Information Science,Yinchuan 750000,China;North Minzu University,The Key Laboratory of Intelligent Information and Big Data Processing of Ningxia Province,Yinchuan 750000,China)

机构地区：[1]北方民族大学数学与信息科学学院,银川750000 [2]北方民族大学宁夏智能信息与大数据处理重点实验室,银川750000

出　　处：《电光与控制》2024年第12期106-112,共7页Electronics Optics & Control

基　　金：国家自然科学基金(62366001);宁夏自然科学基金(2022 AACO3236);宁夏高等学校一流学科建设(数学学科)(NXYLXK2017 B09);北方民族大学研究生创新项目(YCX23082)。

摘　　要：目前基于暗通道的图像去雾算法多存在复原后图像色彩失真和天空边界区域轮廓模糊等问题。为了解决这些问题,提出了一种融合彩色增强信息的暗通道去雾方法。该方法以暗通道先验算法为基础,采用灰度开运算对大气光值进行区间估计得到精确的大气光值和初始透射率;将YC_(b)C_(r)空间上复原图像所对应的灰度图像作为引导图像,并对粗透射率图采用梯度域引导滤波细化处理;再利用自适应容差机制对天空区域及明亮区域的透射率进行自适应修正;最后,利用亮度补偿模型对图像进行修正,提高复原图像的亮度和色彩饱和度。在合成雾天图像和真实雾天图像上的实验结果表明,与现有的单幅图像去雾算法相比,所提方法在峰值信噪比和结构相似性上均有提升,同时有效地解决了去雾后图像颜色失真和细节丢失问题。At present,the image dehazing method based on dark channel mostly has the problems of image color distortion and blurred contour of the sky boundary region after restoration.In order to solve these problems,a dark channel dehazing method fused with color enhancement information is proposed.Based on the dark channel prior algorithm,the interval estimation of atmospheric light value is carried out by gray-scale open operation to obtain accurate atmospheric light value and initial transmittance.The grayscale image corresponding to the spatially restored image of YC_(b)C_(r)is used as the guide image,and the coarse transmittance image is refined by gradient domain guided filtering,and then the adaptive tolerance mechanism is used to adaptively correct the transmittance of the sky region and the bright region.Finally,the brightness compensation model is used to correct the image to improve the brightness and color saturation of the restored image.Experimental results on synthetic foggy images and real foggy images show that,compared with the existing single-image dehazing algorithms,the proposed method improves both the peak signal-to-noise ratio and structural similarity,and effectively solves the problems of image color distortion and detail loss after dehazing.

关 键 词：图像去雾 暗通道 自适应容差机制 梯度域引导滤波 区间估计 亮度补偿 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]