Nonuniformity Correction of Infrared Image Sequences Using the Iterative High-order Statistics

摘要：

This paper presents a nonuniformity correction method based on iterative high-order statistics (IHOS-NUC). Firstly, suppose the irradiance collected by each detection cell is random variable that satisfies uniform distribution in constant range. Subsequently, the mean, variance and four-order cumulant of readout data are computed with iteration operation and applied to nonuniform sensor model, and then, the gain and bias parameters will be estimated. The strength of the method lies in its simplicity, low computational complexity, and its good nonuniformity correction. Finally ，the performance of the proposed algorithm is demonstrated by using both simulated and real sequence scene of infrared imagery.

关键词： Focal-plane array fixed-pattern noise high-order statistics

作者: SUN Wenfang ZHAO Yigong ZHU Hong ZHAO Jizheng LIU Yongjin

作者单位: Institute of Pattern Recognition and Intelligent Control,School of Electronic Engineering,Xidian University,Xian,710071

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）