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红外图像非均匀性校正算法评估 被引量：1

EVALUATION OF INFRARED IMAGE NON-UNIFORMITY CORRECTION ALGORITHM
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摘要 红外图像非均匀性校正算法的选择直接影响成像质量和实现的难易程度.通过采集到的红外图像,对常用的几种非均匀性校正算法进行了定量分析和定性比较,结果发现,两点非均匀性校正算法、两点与LMS综合算法均有较好的校正效果,但综合算法具有更小的剩余非均匀性.非均匀性的评估为红外图像处理算法的选择提供了依据. The selection of non-uniformity correction algorithm （NUC） of infrared images affects the imaging quality and its carry out. In this paper, comparisons are taken among some general NUC in terms of quality and numherical methods. It found that two-point NUC and integrated NUC of two- point and LMS have good correction effect, and the integrated NUC of two-point and LMS has little residual non-uniformity. The evaluation provides the engineer with evidence of selecting NUC for infrared images.
作者 邢素霞 常本康 陈岩 郭培源
机构地区 北京工商大学信息工程学院 南京理工大学电子工程与光电技术学院
出处 《北京工商大学学报（自然科学版）》 CAS 2008年第1期45-48,共4页 Journal of Beijing Technology and Business University:Natural Science Edition
关键词 红外图像 非均匀性校正 剩余非均匀性 最小均方算法 infrared image non-uniformity correction residual non-uniformity least mean square algorithm
分类号 TN911.73 [电子电信—通信与信息系统] TP301.6 [自动化与计算机技术—计算机系统结构]
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参考文献9

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二级参考文献16

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共引文献45

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北京工商大学学报（自然科学版）
2008年 第1期

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