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基于指数阈值的小波包变换图像去噪方法
引用本文:郎文杰.基于指数阈值的小波包变换图像去噪方法[J].长春理工大学学报,2009,32(3):484-486.
作者姓名:郎文杰
作者单位:中北大学,国家级电工电子实验教学示范中心,太原,030051 
基金项目:山西省青年科技研究基金 
摘    要:小波包分析是一种比小波变换更加精细的分析方法,在对分解后的小波包系数进行软、硬阈值化处理时,易使重构后的图像产生马赛克现象,造成图像失真,为此提出一种基于指教阈值的小波包变换图像去噪方法.该方法采用小波包对含噪图像进行分解,然后利用指数降噪因子除小波包系数.实验表明,本算法去噪后的图像在峰值信噪比及主观视觉效果两方面均得到了明显改善.

关 键 词:小波包变换  指数阈值  图像去噪

Image De-nosing Method by Wavelet Packet Transform on Exponential Threshold Basis
LANG Wenjie.Image De-nosing Method by Wavelet Packet Transform on Exponential Threshold Basis[J].Journal of Changchun University of Science and Technology,2009,32(3):484-486.
Authors:LANG Wenjie
Affiliation:LANG Wenjie(National Electrical , Electronic Laboratory Teaching Exemplary Center,North University of China,Taiyuan,030051)
Abstract:Wavelet packet analysis is a much more detailed method than wavelet transform.The procession of the decomposed wavelet packet coefficients by soft and hard threshold will result in mosaic appearance and image distortion.Therefore a de-nos-ing method by wavelet packet transform based on the exponential threshold is put forward,using wavelet packet to decompose image.The wavelet packet coefficients are divided by exponentialde-nosing factors.Experiments show that the de-nosing image by this algorithm has been...
Keywords:wavelet transform  exponential threshold  image de-nosing  
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