| 红外图像非均匀性校正算法评估 |
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| 引用本文： | 邢素霞,;常本康,;陈岩,;郭培源.红外图像非均匀性校正算法评估[J].北京轻工业学院学报,2008(1):45-48. |
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| 作者姓名： | 邢素霞 ;常本康 ;陈岩 ;郭培源 |
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| 作者单位： | [1]北京工商大学信息工程学院,北京100037; [2]南京理工大学电子工程与光电技术学院,江苏南京210094 |
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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.
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| 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 |
EVALUATION OF INFRARED IMAGE NON-UNIFORMITY CORRECTION ALGORITHM |
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| Affiliation: | XING Su-xia, CHANG Ben-kang, CHEN Yan, GUO Pei-yuan (1. College of Information Engineering, Beijing Technology and Business University, Beijing 100037, China ; 2. School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China) |
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| Abstract: | 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. |
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| Keywords: | infrared image non-uniformity correction residual non-uniformity least mean square algorithm |
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