红外图像噪声滤波对比度增强算法  

Contrast enhancement algorithm of infrared image based on noise filtering model

作　　者：白俊奇[1] 陈钱[1] 王娴雅[1] 钱惟贤[1] 

机构地区：[1]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《红外与激光工程》2010年第4期777-780,共4页Infrared and Laser Engineering

基　　金：国防重点科学实验室资助项目;江苏省自然科学基金重点项目(BK2008049);江苏省普通高校研究生科研创新计划资助项目(CX08B_045Z)

摘　　要：针对红外图像噪声大、对比度低的特点,在传统直方图均衡原理的基础上,利用像素邻域高斯分布特征,介绍了一种基于噪声滤波的对比度增强算法。首先,计算原始图像统计直方图;其次,对统计直方图进行噪声滤波;最后,利用构造的加权函数对直方图间距进行均衡处理。改进的对比度增强算法避免了传统直方图均衡对灰度邻近、分布较少的灰度级进行合并,从而保留了图像细节信息。仿真实验表明:该算法在增强图像对比度的同时,有效保留了局部细节信息,具有一定的实用价值。For the low signal-to-noise ratio and the contrast of infrared images,a noise filtering and contrast enhancement algorithm was proposed by analyzing the principle of traditional Histogram-equalization（HE）,which was based on Gaussian distribution characteristics of different pixels.Firstly,the statistics histogram of original image was calculated.Secondly,the statistic histogram was rectified by using noise filtering model.Finally,the histogram interval was equalized by using constructed weight function.The mergence of grayscales could avoid by the improved algorithm,which possess the adjacent gray value and fewer pixels,therefore the details of image can be remained.Simulation experiments show the proposed algorithm can enhance image contrast,preserve local details effectively,and is valuable.

关 键 词：红外热成像 直方图 高斯分布 对比度 

分 类 号：TN911.73[电子电信—通信与信息系统]