海面复杂背景下图像增强算法研究  

Research on Image Enhancement Algorithm in Complex Sea Environment

作　　者：庞明[1] 鞠金宝 PANG Ming;JU Jinbao

机构地区：[1]哈尔滨工程大学,哈尔滨150001

出　　处：《科技创新与应用》2023年第31期36-41,共6页Technology Innovation and Application

摘　　要：该文提出一种改进的基于去雾理论的夜间低照度图像增强算法。通过对暗通道先验去雾算法在处理夜间复杂灯光图像中存在的伪光晕、亮度不准等问题进行分析,采用一种可以边缘保持的滤波方法进行暗通道求取,并针对图像特点对大气光值进行精确估计,结合采样方法提升处理效率,实现对低照度图像的有效增强。经过实验分析,该算法能有效地防止光晕现象,改善图像的亮度和噪声。In this paper,an improved night low illuminance image enhancement algorithm based on defog theory is proposed.Based on the analysis of the problems of false halo and inaccuracy of brightness in the dark channel prior defogging algorithm in dealing with the complex light image at night,a filtering method which can preserve the edge is used to calculate the dark channel.According to the characteristics of the image,the atmospheric light value is accurately estimated,combined with the sampling method to improve the processing efficiency,and realize the effective enhancement of the low illumination image.Through experimental analysis,the algorithm can effectively prevent the halo phenomenon and improve the brightness and noise of the image.

关 键 词：海面复杂背景 图像增强 低照度 图像去噪 暗通道先验 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]