基于多尺度时域矩匹配的自适应非均匀性校正算法（英文）  

Adaptive nonuniformity correction algorithm based on multiscale temporal moment matching

作　　者：冷寒冰[1] 胡炳樑[1] 周祚峰[1] 唐利孬[1] 张建[1] 闫阿奇[1] 

机构地区：[1]中国科学院西安光学精密机械研究所,陕西西安710119

出　　处：《红外与毫米波学报》2015年第4期401-405,共5页Journal of Infrared and Millimeter Waves

基　　金：National Natural Science Foundation of China(61201376);Western Light project of CAS(Y229E21213)

摘　　要：非制冷红外焦平面阵列的固定图案噪声具有与条带噪声相类似的特性.通过对矩匹配算法和时域高通滤波算法的研究,提出了一种多尺度时域矩匹配非均匀性校正算法.首先利用高斯金字塔对相邻帧待校正图像进行全局运动估计,然后对各尺度的高斯金字塔和拉普拉斯金字塔分别进行时域矩匹配.对真实红外图像序列的实验结果表明,该算法在提高收敛速度的同时可有效减少鬼影现象的出现.The fixed pattern noise of uncooled infrared focal plane arrays has the similar characteristics with the stripe noise. By researching the moment matching and temporal high-pass filter,a novel multiscale temporal moment matching nonuniformity correction algorithm was proposed. In the proposed algorithm,global motion was first identified by the Gaussian pyramid of the adjacent uncorrected images. Then the temporal moment matching was performed in all levels of Gaussian pyramids and Laplacian pyramids. The experimental results with the real infrared video sequences have shown that the proposed algorithm can significantly increase the convergence speed and reduce the ghosting artifacts.

关 键 词：非均匀性校正 时域高通滤波 多尺度时域矩匹配 拉普拉斯金字塔 鬼影 

分 类 号：TN911.73[电子电信—通信与信息系统]