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基于时域高通滤波的非均匀性校正算法研究
引用本文:施长城,张天序,李洁珺,刘慧娜,袁雅婧,周泱. 基于时域高通滤波的非均匀性校正算法研究[J]. 计算机与数字工程, 2007, 35(7): 1-3
作者姓名:施长城  张天序  李洁珺  刘慧娜  袁雅婧  周泱
作者单位:华中科技大学图像识别与人工智能研究所多谱信息处理技术国防科技重点实验室,武汉430074
摘    要:实现红外焦平面阵列非均匀性自适应校正是红外探测系统研究中追求的重要目标,对提高红外探测系统的空间分辨率、温度分辨率、探测距离以及辐射量的正确度量具有重要意义.分析基于时域高通滤波的红外焦平面自适应非均匀校正算法的视觉神经机制以及滤波器的幅频特性.通过对实际红外图像的实验,提出正确选取时间常数是影响该校正方法最重要的因素.

关 键 词:红外焦平面阵列  非均匀性  自适应校正算法  时域高通滤波
修稿时间:2007-01-23

Research on the Adaptive Algorithm for Nonuniformity Correction of Infrared Focal Plane Array Based on Teporal High Pass Filter
by Shi Changcheng. Research on the Adaptive Algorithm for Nonuniformity Correction of Infrared Focal Plane Array Based on Teporal High Pass Filter[J]. Computer and Digital Engineering, 2007, 35(7): 1-3
Authors:by Shi Changcheng
Affiliation:by Shi Changcheng
Abstract:It was the most important goal for an infrared detecting system to realize adaptive nonuniformity correction of infrared focal plane array (IRFPA) which is also significant to improve spatial resolution, temperature resolution, detecting distance and radiometric accuracy. The visual neural mechanism and frequency characteristic of the temporal high pass filter nonuniformity correction technique for infrared focal plane array were studied. The experiments with real infrared image showed that the most important factor of this nonuniformity correction algorithm war the time constant.
Keywords:infrared focal plane array   nonuniformity   adaptive correction algorithm  temporal high pass filter
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