低照度环境监控的图像增强算法研究  

Research on image enhancement algorithm for low illumination environment monitoring

作　　者：李智君[1] 王勇[2] Li Zhijun Wang Yong(Jiangsu Radio Factory Co. Ltd., Nanjing, Postcode 210022 Nanjing University of Posts and Telecommunications, Nanjing, Postcode 210023)

机构地区：[1]江苏无线电厂有限公司,南京210022 [2]南京邮电大学自动化学院,南京210023

出　　处：《电子测试》2016年第10期31-35,共5页Electronic Test

摘　　要：在档案库房安防系统中,光照是图像清晰度的重要因素,对后续处理和最终监管有着至关重要的影响。本文针对灰暗天气和夜间等低对比度图像,通过采用直方图均衡化(HE)、自适应直方图均衡化(AHE)和受限对比度自适应直方图均衡化算法(CLAHE)进行图像处理和对比,提出了一种基于受限对比度自适应直方图均衡化的改进算法。该方法首先进行了RGB和彩色空间转换,其次仅对亮度分量进行受限对比度自适应直方图均衡化变换和非线性拉伸变化,最后做RGB的图像输出。实验结果表明,该方法不仅提高了图像的对比度,而且在档案库房安防系统的监控中良好的保持了图像的目标信息,提高了后续识别和监控的有效性。The light is an important factor of image clarity, and it has a very important influence on the subsequent processing and final regulation.According to the gloomy weather and night low contrast image by using histogram equalization（HE）,adaptive histogram equalization（AHE）and contrast limited adaptive histogram equalization（CLAHE）algorithm for image processing and comparison,this paper presents an improved algorithm of contrast limited adaptive histogram equalization based on.In this method,the RGB and color space conversion are firstly carried out,and then only the luminance component is restricted by the adaptive histogram equalization transformation and nonlinear tension change.Finally,the image output of RGB is done.The experimental results show that this method not only improves the contrast of image, but also maintains the image target information in the monitoring of the archives warehouse security system, which improves the efficiency of the subsequent identification and monitoring.

关 键 词：图像增强 直方图均衡化 彩色空间转换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]