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.
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