| 基于递推最小二乘的红外焦平面非均匀校正算法 |
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| 引用本文： | 徐田华,赵亦工.基于递推最小二乘的红外焦平面非均匀校正算法[J].光子学报,2006,35(2):261-264. |
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| 作者姓名： | 徐田华 赵亦工 |
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| 作者单位： | 西安电子科技大学模式识别与智能控制研究所,西安,710071;西安电子科技大学模式识别与智能控制研究所,西安,710071 |
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| 基金项目： | 国家自然科学基金（编号6057215）资助项目. |
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| 摘 要： | 根据递推最小二乘和图像配准原理，提出了基于递推最小二乘的红外焦平面非均匀校正算法（简称ILS算法），有效降低算法的时间和空间复杂度，使噪音图像的校正处理能够实时完成.ILS算法具有噪音参量估计准确度高、收敛速度快和计算复杂度低等优点.给出了算法的推导并用仿真数据对算法的有效性进行验证.
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| 关 键 词： | 红外焦平面 非均匀校正 递推最小二乘 |
| 收稿时间： | 2004-11-04 |
| 修稿时间： | 2004年11月4日 |
Iterative Least Square-Based Algorithm for Nonuniformity Correction of Infrared Focal Plane Arrays |
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| Xu Tianhua,Zhao Yigong.Iterative Least Square-Based Algorithm for Nonuniformity Correction of Infrared Focal Plane Arrays[J].Acta Photonica Sinica,2006,35(2):261-264. |
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| Authors: | Xu Tianhua Zhao Yigong |
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| Institution: | Institute of Pattern Recognition and Intelligent Control, Xidian University, Xi′an 710071 |
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| Abstract: | Based on the iterative least square and image registration technology, the iterative least square based algorithm (ILS) for nonuniformity correction of infrared focal plane arrays was presented, which greatly reduced the time and space complexity and made real-time realization of the image process possible. The ILS algorithm had the strength of accurate estimation of FPN, fast convergence rate and low computational complexity. The deduction of the algorithm has been presented and the effectiveness has been demonstrated by the simulation results. |
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| Keywords: | Infrared focal plane Nonuniformity correction Iterative least square |
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