小波模极大值在图像消噪中的应用  

Application of Wavelet Modulus Maxima in Image De-noising

作　　者：刘钺[1] 

机构地区：[1]郑州大学信息工程学院,郑州450001

出　　处：《计算机工程》2011年第6期200-202,共3页Computer Engineering

摘　　要：提出利用小波模极大值进行图像消噪方法,对含噪声图像进行离散平稳小波变换和噪声标准差的估计,在Bayes-shrink阈值计算的基础上,得到消噪的阈值计算公式。对各尺度各子带的小波系数模极大值进行判断,获得由图像边缘产生的小波系数,使用自适应多阈值的方法在小波各尺度、各子带萎缩非图像边缘产生的小波系数。经平稳小波逆变换得到消噪后的图像。实验结果表明,与以前消噪方法相比,该方法具有更好的效果。This paper proposes using wavelet modulus maxima de-noising method.Image containing noise is took discrete stationary wavelet transform,the noise standard deviation is estimated,changes in the form of Bayes-shrink threshold,and gets de-noising threshold formula.The paper judges the wavelet coefficients modulus maxima generated by the edge image in each scale wavelet coefficients of each sub-band,uses the adaptive multi-threshold to atrophy wavelet coefficients for non-image edge in each wavelet sub-band of all different scales.The stationary wavelet inverse transform of the image is performed after de-noising.Experimental results show that the proposed de-noising method has better effect.

关 键 词：平稳小波变换 模极大值 萎缩 消噪 清晰度 

分 类 号：TP393.41[自动化与计算机技术—计算机应用技术]