Improvement and Simulation Analysis of Threshold Denoising Algorithm

摘要：

　　According to the characteristics of image wavelet decomposition and statistical characteristics of high frequency wavelet coefficients atter wavelet decomposition,this article improves the traditional threshold function de-noising algorithm.Improved threshold function not only overcomes wavelet coefficient discontinuity caused by hard threshold function de-noising and certain deviation witch always exists between wavelet coefficients caused by soft threshold function de-noising and its real value.The experimental results show that,the improved threshold function de-noising results are better than traditional soft and hard threshold method either in the visual effects,or the PSNR gain.

关键词： Wavelet transform Threshold De-noising image

作者: Yanxia Liu Yan Li Beibei Dong Yanyan Cao Yanli Ma

作者单位: College of Information Science and Engineering,Hebei North University,Hebei,China Department of Electrical Engineering,Vocational College of Technology,Hebei,China

会议类型: 国际会议

会议名称: 2012 2nd International conference on Machinery Electronics and Control Engineering (2012年第二届国际机械电子与控制工程会议(ICMECE 2012))

会议地点: 济南

会议语种:英文

页码: 1060-1063

在线出版日期: 2012-12-29（万方平台首次上网日期，不代表论文的发表时间）