基于中值滤波和小波变换图像降噪的新算法  

A Novel Algorithm for Image De-noise Based on Median Filter and Wavelet Transform

作　　者：张昊慧[1] 

机构地区：[1]淮阴师范学院物理与电子电气工程学院,江苏淮安223001

出　　处：《电子科技》2012年第12期40-41,43,共3页Electronic Science and Technology

摘　　要：针对小波变换去噪方法仅适用于去除高斯白噪声,对于脉冲噪声得不到良好的降噪效果的问题,文中构造了一个新的小波阈值函数,并对中值滤波进行了改进,将此两者方法相结合进行图像去噪。仿真实验结果表明,新算法能够有效去除高斯白噪声和脉冲噪声,而且去噪后图像的峰值信噪比和均方误差都较单一算法得到改善,从而证明了该方法的有效性。The de-noising method by threshold based on wavelet transform is only used to remove Gaussian White Noise and invalid to remove impulse noise. This paper proposes a de-noising method that combines wavelet transform based on novel threshold function and improved median filter. This method can effectively remove fixed noises of the Gaussian White Noise and impulse noise. The simulation experiment shows that combined algorithm for de-noising images of the Peak Signal-Noise Ratio and mean square error is improved over the single algorithm, and the validity of this algorithm is proved.

关 键 词：混合噪声 改进的中值滤波 小波变换 阈值函数 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]