摘要
该文描述了根据Mallat二维快速算法,使用小波函数对含有噪声的图像进行分解去噪;描述使用软阈值方法进行阈值去噪;根据小波分解的最底层低频系数和各层高频系数进行二维小波重构,从而得到去除噪声图像。
Described in this paper based on Mallat fast algorithm for two-dimensional, Using Wavelet function is to decompose thenoise image and de-noising. Describe the use of soft threshold method of threshold de-noising. According to the low-frequency co-efficients of the lowest layer and high-frequency coefficients of the layers, getting on wavelet reconstruction, resulting the de-nois-ing image.
出处
《电脑知识与技术（过刊）》
2015年第2X期196-197,共2页
Computer Knowledge and Technology
关键词
二维小波变换
二维Mallat快速算法
近似系数
细节系数
小波分解重构去噪
two-dimension wavelet transform
two-dimension Mallat fast Algorithm
approximate coefficients
detail coefficients
wavelet decomposition and reconstruction de-noising
