摘要
人脸识别系统非常复杂,其中处理的对象都是人脸图像数据.从现实中获取的图像包含各种噪声信号,使图像数据和现实差距太大.为了快速有效的去除这些噪声信号,对基于提升小波变换的图像去噪方法进行了详细研究.该方法在保持基于传统小波变换去噪方法的前提下,使去噪处理的计算量大大减少,去噪速度显著提高.
The human face recognition system is complex which processes a large of face image data.Obtained from reality environment,the images contain a lot of noise.In order to de-noising more effectively and quickly,the method Based on lift-wavelet transform are carefully studied in the paper.This method of maintaining the traditional wavelet transform based on the premise of de-noising method to deal with the calculation of the volume of noise greatly reducing,significantly improve the speed of de-noising.
出处
《山西大同大学学报（自然科学版）》
2010年第6期14-16,19,共4页
Journal of Shanxi Datong University(Natural Science Edition)
关键词
分裂
预测
更新
提升小波
split
predict
update
lift-wavelet
