The Image Denoising Method Based On Adaptive Wiener Filter And Wavelet Packet Transformation

摘要：

A new image denoising method is proposed in this paper,which integrates adaptive wiener filter with wavelet packet transformation to realize the balance between the noise attenuation,detail texture and edge information preservation in image denoising.It fully utilized wavelet packet transformation to decompose the low frequency parts and the high frequency parts of the image simultaneously and portray the edge information of the image well with more precise partial analysis ability,namely it can describe the detail texture well.And adaptive wiener filter can remove the noise of the image background without destroying the edge information,it is optimal in the minimum mean square error (MMSE) sense.In this way,it not only achieves better denoising effect,but also keeps the image edge information well,and makes the detail texture of the image much clearer in the process of noise elimination.So this achieves a good result between the visual effect and the signal to noise ratio.

关键词： wavelet packet transformation adaptive wiener image denoising.

作者: Yiqian TANG Yue ZHAO Lin SHI

作者单位: Chengdu University,Chengdu,China

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）