摘要
分析了条纹噪声的产生机制,并提出了能够在一帧时间内完成的去除条纹噪声算法.该算法利用局部窗口遍历一帧图像的所有像元,获得每行像元的极值,并通过相邻行之间灰度值的继承性完成一帧图像的校正参数的计算;通过设定合适的阈值消除图像边缘和系统噪声对参数精度的影响.实验结果和理论分析表明,提出的算法能够在一帧时间内有效地消除红外图像的条纹噪声.
The mechanism of stripe noise was analyzed.An algorithm for eliminating stripe noise in one frame time was proposed.The algorithm obtains the extreme value of every row pixels by traversing all pixels of a frame in local window and computes noise gain and offset parameters through the succession of adjacent row pixels.By setting adaptive threshold value,eliminating the influences of image edges and system noise,we can achieve the precise gain and offset parameters and complete the eliminating algorithm for stripe noise.The experiment and theoretical analysis indicate that our algorithm can eliminate stripe noise effectively in one frame time.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2012年第2期106-112,共7页
Journal of Infrared and Millimeter Waves
基金
Supported by Jiangsu Natural Science Foundation(BK2011698)
Specialized Research Fund for the Doctoral Program of Higher Education of China(20113219120017)
China Postdoctoral Science Foundation(20110491424)
Jiangsu Planned Projects for Postdoctoral Research Funds(1101081C)
关键词
红外图像
条纹噪声
局部窗口
阈值设置
继承性
infrared image
stripe noise
local window
threshold setting
succession
作者简介
隋修宝(1981-),male,Shandong Province,PhD.Research on electro-optical detecting and image engineering.Email:sxbhandsome@163.com.
