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基于高阶统计量的红外焦平面非均匀校正算法
引用本文:徐田华,赵继政,赵亦工.基于高阶统计量的红外焦平面非均匀校正算法[J].西安电子科技大学学报,2006,33(2):227-230.
作者姓名:徐田华  赵继政  赵亦工
作者单位:西安电子科技大学 模式识别与智能控制研究所,陕西 西安 710071
摘    要:根据高斯噪声高于二阶累积量为零的特性,提出基于高阶统计量的红外焦平面非均匀校正算法,可从图像场景中自适应估计阵列单元的增益和偏置参数.提出的算法包含两个部分,第一部分利用统计矩和累积量周期估计红外焦平面的模型参数,第二部分利用维纳滤波恢复真实图像.仿真图像序列表明这种算法有效降低了固定图案噪声,达到了较高的非均匀校正水平.

关 键 词:高阶统计量  红外焦平面阵列  非均匀校正  固定图案噪声  
文章编号:1001-2400(2006)02-0227-04
收稿时间:2005-04-23
修稿时间:2005-04-23

High-order-statistics based nonuniformity correction for infrared focal plane arrays
XU Tian-hua,ZHAO Ji-zheng,ZHAO Yi-gong.High-order-statistics based nonuniformity correction for infrared focal plane arrays[J].Journal of Xidian University,2006,33(2):227-230.
Authors:XU Tian-hua  ZHAO Ji-zheng  ZHAO Yi-gong
Affiliation:Research Inst. of Pattern Recognition and Intelligent Control, Xidian Univ., Xi’an 710071, China
Abstract:According to the property that for Gaussian signals only,all cumulant spectra of order greater than two are identically zero,a High-Order-Statistics based Nonuniformity Correction(HOS-NUC) approach is taken for the adaptive estimation of the gain and bias nonuniformity in infrared focal-plane array sensors from scene data.The proposed algorithm consists of two main parts: the first part involves a periodic statistical estimation of the model parameters using the moment and cumulant;the second part involves the estimated parameters in restoring the true image by a winner filter.The proposed method has been tested with video sequences of simulated infrared data,reducing the fixed pattern noise and reaching high correction levels.
Keywords:High-Order-Statistics  infrared focal plane array  non-uniformity correction  fixed-pattern noise
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