摘要
非均匀性校正是提高红外图像质量的主要方法之一。针对传统的多点校正方法运算量大、实时性能差等缺点,提出多点实时压缩校正新方法,该方法将校正曲线相同或相似的不同探测单元归为一类,并将归类后的校正曲线的映射表存储在查找表中,校正过程中仅对查找表中的数据进行实时读取。实验结果表明:该算法计算量小、校正速度快,更加适合硬件实时实现。
Nonuniformity correction is one of the main methods that can improve the quality of infrared image. Aiming at the problem of the large data storing and poor real-time capacity of traditional multi-point correction, a new multi-points compressive correction method is proposed. Detector pixels with identical or similar calibration curve will be classified as a class, and the mapping table of the categorized correction curves will be stored in a look-up table. During the correction process, only the data in the look-up table is read in real-time. The experimental results show the algorithm has less computation and requires less storage space of data, which is more suitable for real-time hardware implementation.
出处
《红外技术》
CSCD
北大核心
2012年第10期593-597,共5页
Infrared Technology
基金
国家自然科学基金项目(编号:61071196)
教育部新世纪优秀人才支持计划
编号:NCET-10-0927
信号与信息处理重庆市市级重点实验室建设项目
编号:CSTC
2009CA2003
重庆市自然科学基金项目
编号:CSTC
2009BB2287
CSTC
2010BB2398
CSTC
2010BB2411
重庆市科技攻关计划项目
编号:CSTC
2011AB2008
关键词
红外图像
非均匀性
实时性
多点压缩校正
infrared image, nonuniformity, real-time capability, multi-points compression and correction
