基于改进的LIP算法低照度图像增强算法  

Low-illumination image enhancement based on improved LIP model

作　　者：张艳 张明路[1] 蒋志宏[2] 吕晓玲[1] Zhang Yan;Zhang Minglu;Jiang Zhihong;Lv Xiaoling(School of Mechanical Engineering,Hebei University of Technology,Tianjin 300130,China;The Intelligent Robotics Institute,School of Mechatronical Engineering,Beijing Institute of Technology,Beijing 100081,China)

机构地区：[1]河北工业大学机械工程学院,天津300130 [2]北京理工大学机电学院智能机器人研究所,北京100081

出　　处：《电子测量与仪器学报》2019年第11期147-154,共8页Journal of Electronic Measurement and Instrumentation

基　　金：国家重点自然基金(61733001);河北省自然科学基金和重点基础研究专项(E2018202338)资助

摘　　要：针对空间站低照度环境下,采集到的彩色图像清晰度低的问题,提出了一种LIP模型与MSRCR算法结合的方式进行图像处理的方法。首先,利用LIP模型对图像进行分区,对每个像素的亮度分量进行增强,改善图像对比度,突出图像的细节信息;然后,合理的调整参数,通过MSRCR算法,调节图像中3个颜色通道之间的比例关系,对亮度分量进行二次增强,突出图像的信息;最后,通过搭建实验平台,模拟空间站复杂光照情况,进行实验对比分析。结果表明,通过LIP模型与MSRCR算法结合的形式,保证低照度下的图像信息更好的提取,增强图像整体的对比度、亮度以及熵值,为空间站低照度下的图片处理提供了良好的参考价值。Aiming at the low-illumination environment of space station, the color image is acquired of low definition, a method of image processing based on the combination of LIP model and MSRCR algorithm is proposed. Firstly, the image is partitioned by LIP model, the brightness component of each pixel is enhanced, the image contrast is improved, and the details of the image are highlighted. Then, the parameters are adjusted reasonably, and the MSRCR algorithm is used to adjust the three color channels’ proportional relationship, enhanced the luminance component for second time and highlighted the information of the image. Finally, by constructing an experimental platform, the complex lighting conditions of the space station are simulated, and the experimental comparison analysis is carried out. The results show that the combination of LIP model and MSRCR algorithm can ensure better image information extraction under low illumination and enhance the overall contrast, brightness and entropy of the image, which provides a good reference value for image processing under low illumination of space station.

关 键 词：低照度 图像增强 LIP模型 MSRCR算法 二次增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TH164[自动化与计算机技术—计算机科学与技术]