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点源目标质心探测中单个盲元线性插值补偿算法选取
引用本文:王少白,王春鸿,饶长辉. 点源目标质心探测中单个盲元线性插值补偿算法选取[J]. 红外与激光工程, 2012, 41(8): 2156-2161
作者姓名:王少白  王春鸿  饶长辉
作者单位:1. 中国科学院光电技术研究所自适应光学研究室,四川成都610209;中国科学院自适应光学重点实验室,四川成都610209;中国科学院研究生院,北京100049
2. 中国科学院光电技术研究所自适应光学研究室,四川成都610209;中国科学院自适应光学重点实验室,四川成都610209
基金项目:国家863计划(2008AA02Z422)
摘    要:自适应光学系统中应用哈特曼波前传感器对点源目标进行质心探测时,光电探测器上子孔径区域内存在的盲元会引入一定的附加质心探测误差,为了减小质心误差,需要选取合适的盲元补偿算法获得相对合理的补偿值。推导了哈特曼波前传感器子孔径内单个盲元补偿后造成的附加质心探测误差。利用仿真统计了各种利用盲元邻域正常像素进行线性插值的单个盲元补偿算法对点源目标质心探测误差的影响。提出了单个盲元邻域像素线性插值补偿算法选取的若干准则,指出选用盲元上下左右4邻域像素的均值进行补偿造成的平均质心误差最小,而选用盲元左右两个像素平均补偿算法可以在补偿误差较小的情况下简化运算。实验结果与仿真结果相符合。

关 键 词:盲元补偿  线性插值算法  单个盲元  点源目标  哈特曼波前传感器

Linear interpolation compensation algorithms of single blind pixel for point source centroid detection
Wang Shaobai , Wang Chunhong , Rao Changhui. Linear interpolation compensation algorithms of single blind pixel for point source centroid detection[J]. Infrared and Laser Engineering, 2012, 41(8): 2156-2161
Authors:Wang Shaobai    Wang Chunhong    Rao Changhui
Affiliation:1,2(1.The Laboratory on Adaptive Optics,Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;2.The Key Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China; 3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:In adaptive optics system utilizing Shack-Hartmann wavefront sensor,the single blind pixel in subaperture area on the detector causes additional error in point source centroid detection.To obtain a reasonable value to substitute the single blind pixel,some proper compensation algorithm is needed.The formula of additional centroid detection error induced by the compensation of single blind pixel was deduced.For different single blind pixel compensation algorithms that utilize normal neighborhood pixels for linear interpolation,their influences on centroid detection error were analyzed statistically by simulation.Some guide lines for choosing the proper single blind pixel compensation algorithms were presented.Among the compensation algorithms,the least average centroid error can be obtained by using the algorithm that uses the average value of the four normal neighboring pixels which was on the upside,downside,left side and right side of the single blind pixel respectively.To simplify the calculation,the algorithm that uses the average value of the two normal neighborhood pixels which is on the left side and right side respectively can be adopted,meanwhile the average centroid error remains small.The experimental results are in great accordance with simulation data.
Keywords:blind pixel compensation  linear interpolation algorithm  single blind pixel  point source  Shack-Hartmann wavefront sensor
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