低照度下的自适应图像增强算法  

Adaptive real-time image enhancement algorithm in low illumination complex environment

作　　者：汪伟 韩松涛 张裴裴 马玲官 WANG Wei;HAN Songtao;ZHANG Peipei;MA Lingguan(Anhui Armed Police Corps,Hefei 230001,China)

机构地区：[1]武警安徽总队,合肥230001

出　　处：《计算机应用文摘》2025年第4期99-102,共4页

摘　　要：针对低照度复杂环境下获取的图像存在局部欠曝、过曝、色彩偏差、噪声较大以及细节丢失等问题,提出了一种高效的图像增强算法。该算法根据图像的亮度分布建立自适应映射函数,在压缩图像动态范围的同时提高局部暗点像素值;对图像进行自适应对比度增强,提升整体对比度。实验结果表明,该算法在不均匀光照条件下能够有效改善图像的亮度、对比度和清晰度,同时保持较小的颜色失真,具有更好的视觉效果。An efficient image enhancement algorithm is proposed to address the issues of local underexposure,overexposure,color deviation,high noise,and loss of details in images obtained in complex low light environments.This algorithm establishes an adaptive mapping function based on the brightness distribution of the image,which compresses the dynamic range of the image while increasing the pixel values of local dark spots.Perform adaptive contrast enhancement on the image to improve overall contrast.The experimental results show that the algorithm can effectively improve the brightness,contrast,and clarity of images under uneven lighting conditions,while maintaining minimal color distortion,resulting in better visual effects.

关 键 词：图像增强算法 复杂环境成像 实时处理 深度学习 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]