摘要
水下光学环境的特殊性导致了正常拍摄的水下图像存在雾化现象、偏色和低对比度,现有复原方法存在深度图上局部错估和透射图不精确的问题。为了更好的提升水下图像的质量,提出了一种能够平衡衰减、精确估计全局环境光的改进暗通道的水下图像复原算法。通过梯度图和通道差构建深度图,获取全局环境光;通过平衡衰减的暗通道,得到更精确的透射图;通过白平衡算法校正色偏,进一步改善图像质量。为了验证算法的有效性,在UIEBD数据集和RUIE数据集上进行了实验评估,UIQM指标分别为1.560和1.668,UCIQE指标分别为0.470和0.364。实验结果表明,本文提出的改进能有效提升水下图像的复原效果。
The particularity of the underwater optical environment causes fog,color cast,and low contrast in normally captured underwater images.Existing restoration methods suffer from local misestimation in the depth map and inaccuracy in the transmission map.In order to better improve the quality of underwater images,an improved dark channel underwater image restoration algorithm that can balance attenuation and accurately estimate global ambient light is proposed.Construct a depth map through gradient maps and channel differences to obtain global ambient light;obtain a more accurate transmission map by balancing the attenuated dark channel;correct color casts through a white balance algorithm to further improve image quality.In order to verify the effectiveness of the algorithm,experimental evaluations were conducted on the UIEBD data set and RUIE data set.The UIQM index was 1.560 and 1.668 respectively,and the UCIQE index was 0.470 and 0.364 respectively.Experimental results show that the improvements proposed in this article can effectively improve the restoration effect of underwater images.
作者
杜道平
李响
梁野
高洪涌
Du Daoping;Li Xiang;Liang Ye;Gao Hongyong(School of Information Engineering,Dalian Ocean University,Dalian 116023,China)
出处
《电子测量技术》
北大核心
2024年第5期142-149,共8页
Electronic Measurement Technology
关键词
平衡衰减
深度估计
暗通道先验
颜色校正
balance attenuation
depth map estimate
dark channel a priori
color correction
