基于多帧配准的红外焦平面阵列非均匀性自适应校正(英文)  

Multiframe registration based adaptive nonuniformity correction algorithm for infrared focal plane arrays

作　　者：任建乐[1,2,3] 陈钱[1,3] 钱惟贤[1] 顾国华[1] 于雪莲[1] 刘宁[1] 

机构地区：[1]南京理工大学江苏省光谱成像与智能感知重点实验室,江苏南京210094 [2]加利福尼亚大学戴维斯分校计算机科学与技术系,美国加利福尼亚95616 [3]北京理工大学光电学院光电成像技术与系统教育部重点实验室,北京100081

出　　处：《红外与毫米波学报》2014年第2期122-128,共7页Journal of Infrared and Millimeter Waves

基　　金：Supported by the Research and Innovation Plan for Graduate Students of Jiangsu Higher Education Institutions,China(CXZZ12_0183);National Natural Science Foundation of China(61101119);Natural Science Foundation of Jiangsu Province of China(BK2011699);Key Laboratory of Photoelectronic Imaging Technology and System,Beijing Institute of Technology,Ministry of Education of China(2013OEIOF04)

摘　　要：提出了一种场景自适应的非均匀性校正固定图案噪声去除方法.基于多帧配准和相邻帧之间的全局位移估计,利用最小均方算法迭代计算均方误差函数,同时结合误差函数均方差以及互相关峰值,从而能够自适应场景变化.所提出的算法充分利用相邻多帧之间的相关性,对模拟和实际红外图像序列非均匀性的校正效果突出.实验结果表明本方法能够精确估计非均匀性参数,收敛速度较快,几乎不残留鬼影.A novel adaptive scene-based nonuniformity correction method for fixed-pattern noise removal was put forward. It is based on the multiframe registration and estimation of global translation between several adjacent frames. The resulting mean square error function was optimized making use of the least mean square algorithm. Combining the local variance of an error function with the correlation peak value, the convergence speed can be controlled adaptively. The proposed method takes advantage of the correlation of adjacent frames sufficiently, thus it can provide enhanced results for diverse simulated and real infrared image sequences with nonuniformity. The experimental results show that the accurate estimations of the nonuniformity parameters of each detector in a focal plane array speed up the convergence, meanwhile, retain few ghosting artifacts.

关 键 词：红外焦平面阵列 非均匀性校正 最小均方 多帧配准 

分 类 号：TN911.73[电子电信—通信与信息系统]