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作 者:魏伟 向伟[1,3,4] 赵耀宏[1,3,4] WEI Wei;XIANG Wei;ZHAO Yao-hong(Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;University of Chinese Academy of Sciences,Beijing 100049,China;Key laboratory of Opto-Electronic Information Processing,CAS,Shenyang 110016,China;The Key Lab of Image Understanding and Computer Vision,Liaoning Province,Shenyang 110016,China)
机构地区:[1]中国科学院沈阳自动化研究所,辽宁沈阳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,辽宁沈阳110016 [4]辽宁省图像理解与视觉计算重点实验室,辽宁沈阳110016
出 处:《激光与红外》2018年第9期1166-1173,共8页Laser & Infrared
摘 要:冷像是影响制冷型红外探测器成像质量的重要因素。分析了冷像产生的机理以及频率特点,提出了一种自适应冷像校正算法。首先,通过自适应时域低通滤波法来获得冷像估计图像,然后将获取到的冷像估计图像与预先存储的冷像参考图像进行相关运算,最后根据相关系数确定是否进行噪声矩阵的更新并用来校正图像。使用仿真和实际的红外图像序列进行实验,结果表明所提算法能够有效去除冷像噪声。Cold image is the important influence factor for the imaging quality of cooled infrared detector.The generation mechanism and frequency characteristics of cold image are analyzed,and an adaptive correction algorithm is proposed.Firstly,the adaptive time-domain low-pass filter was used to obtain an estimated cold image,and then a correlation operation between the estimated image and the pre-stored reference image was carried out.Finally,the noise matrix update was determined and the images were corrected according to the correlation coefficient.Simulated experiments and actual infrared image sequences show that the proposed algorithm can effectively remove the cold image noise.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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