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基于场景的红外焦平面阵列非均匀性校正算法综述
引用本文:董立泉,金伟其,隋婧.基于场景的红外焦平面阵列非均匀性校正算法综述[J].光学技术,2008,34(Z1).
作者姓名:董立泉  金伟其  隋婧
作者单位:北京理工大学光电学院,北京,100081
摘    要:红外焦平面阵列的非均匀性噪声是制约红外成像质量的主要因素。基于场景的非均匀校正算法通常利用图像序列并依赖帧间运动对焦平面阵列的非均匀性进行校正。介绍和分析了全局非均匀性校正,Kalman滤波器法,自适应滤波法,轨迹跟踪法,基于场景运动分析的校正算法,基于小波变换实现低通滤波的校正算法,高通滤波与神经网络相结合的算法,基于小波去噪、序列图像配准和正交最小二乘拟合的校正算法,改进的神经网络算法以及代数算法等,对算法进行了比较。

关 键 词:红外焦平面阵列  非均匀性校正  Kalman滤波  轨迹跟踪  小波变换  图像配准

Study on the scene-based non-unifonnitV correction algorithms fOr IRFPA
DONG Li-quan,JIN Wei-qi,SUI Jing.Study on the scene-based non-unifonnitV correction algorithms fOr IRFPA[J].Optical Technique,2008,34(Z1).
Authors:DONG Li-quan  JIN Wei-qi  SUI Jing
Abstract:The non-uniformity in the infrared focal plane array has limited the quality of infrared imaging system.Scene-based non-uniformity correction(NUC) techniques correct the non-uniformity by using an image sequence and relying on motion between frames.The approach of the whole frame correction,Kalman filtering correction,adaptive filtering correction,trace along trajectory correction,based on the scene moving analysis correction,the wavelet transform used for design the low-pass filter correction,both of the high-pass filter and the artificial neural network correction,based on the application of wavelet filter,video sequences and registration,orthogonal least squares correction,an improved algorithm using neural networks and the algebraic algorithm are introduced and analyzed.These algorithms are compared.
Keywords:IRFPA  NUC  Kalman filter  trace along trajectory  wavelet transform  image registration
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