摘要
为改善水下主动光照明条件下后向散射光对成像的影响,通过分析水下主动偏振成像模型,提出一种基于拟合函数的全局参数估计的水下主动偏振去雾算法。该算法结合图像增强作为图像预处理,再设定二元多项式函数,利用最小二乘法进行后向散射光偏振度变量的拟合求解,得到对比度更高、信息更丰富的水下复原图像。实验结果表明:该算法可有效改善主动光照明条件下的水下图像质量,提高图像对比度,复原被淹没的细节信息,复原图像的图像增强测量值较以往算法相比提升70%,且能适用于不同浓度介质的情况。
In order to improve the effect of backscattering light on imaging in the conditions of underwater active light illumination,an underwater active polarization defogging algorithm for global parameter estimation based on the fitting function was proposed.First,this algorithm combined with the image enhancement as the image preprocessing.Then,the binary polynomial function was set and the least square method was used to solve the fitting of backscattering light polarization degree variable.Finally,the underwater restored image with higher contrast and richer information was obtained.The experimental results show that the proposed algorithm can effectively improve the underwater image quality in the conditions of active light illumination,improve the image contrast and restore the submerged details.The image enhancement measured value of the restored image is 70%higher than that of the previous algorithms,and it can be applied in medias of different concentrations.
作者
于洪志
孙春生
胡艺铭
YU Hongzhi;SUN Chunsheng;HU Yiming(Department of Weapon Engineering,Naval University of Engineering,Wuhan 430033,China)
出处
《应用光学》
CAS
CSCD
北大核心
2020年第1期107-113,193,共8页
Journal of Applied Optics
基金
十三五创新预研项目(3020604010501)
关键词
水下成像
偏振成像
后向散射
underwater imaging
polarization imaging
backscattering
