基于引导滤波的红外图像条纹噪声去除方法  

Stripe Noise Removal Method for Infrared Images Based on Guided Filtering

作　　者：张盛伟[1,2,3] 向伟[1,3] 赵耀宏[1,3] Zhang Shengwei;Xiang Wei;Zhao Yaohong(Department of Optical-Electronics and Information Processing, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016;University of Chinese Academy of Sciences, Beijing 100049;Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Sciences, Shenyang 110016)

机构地区：[1]中国科学院沈阳自动化研究所光电信息技术研究室,沈阳110016 [2]中国科学院大学,北京100049 [3]中国科学院光电信息处理重点实验室,沈阳110016

出　　处：《计算机辅助设计与图形学学报》2017年第8期1434-1443,共10页Journal of Computer-Aided Design & Computer Graphics

基　　金：中国科学院国防创新基金资助课题(CXJJ-15-S109)

摘　　要：红外焦平面阵列中不同列像元在读出电路中对应不同的列通道,每个列通道内的放大器具有不同1/f噪声特征,导致生成图像中含有大量条纹噪声,降低成像质量.为了更好地去除红外图像中的条纹噪声,提出基于引导滤波的红外图像条纹噪声去除方法.首先利用运动图像得到模糊图像的列累加平均向量,然后利用引导滤波器从列累加平均向量中提取条纹噪声校正项,最后利用该噪声校正项对噪声红外图像进行校正.采用仿真和实际红外图像序列进行实验的结果表明,该方法在有效地去除红外图像条纹噪声的同时获得了较好的非均匀性校正效果.Pixels of different columns in the infrared focal plane array(FPA)have different readout channel,amplifiers in different readout channel have different1/f noise characteristics.Such noise may cause heavystripe noise in the infrared images and degrade the quality of captured images.In this paper,a stripe noiseremoval method using guided filter is proposed.First,the average row vector of the blurred image is obtainedby moving images,then the stripe noise correction term is extracted from average row vector usingguided filter;finally,the infrared images are corrected by the noise correction term.Experiment shows thatthe proposed method removes stripe noise efficiently and exhibits better performance than other methoddiscussed in literature.

关 键 词：非均匀性校正 条纹噪声 引导滤波 

分 类 号：TN215[电子电信—物理电子学]