计算机技术与发展Issue(5)：50-53,4.DOI:10.3969/j.issn.1673-629X.2013.05.013
一种改进的小波阈值图像去噪综合模型
An Improved Comprehensive Model of Wavelet Threshold for Image Denoising
摘要
Abstract
For soft and hard threshold function denoising,there exist excessive smoothness,edge oscillation and constant deviation defects. Thus propose a new wavelet threshold denoising comprehensive model based on classical wavelet soft and hard threshold denoising meth-od. Its expression is simple and calculation is easy. By adjusting the control coefficient,the new threshold function not only inherits the su-periority of traditional soft and hard threshold functions,but also retains more image details. In terms of visual effects,quantitative indica-tors of PSNR and MSE,the comparative results show that the method has achieved better denoising effects. This fully reflects the superior-ity of the wavelet threshold for image denoising.关键词
图像去噪/小波系数/阈值函数Key words
image denoising/wavelet coefficients/threshold function分类
信息技术与安全科学引用本文复制引用
白青,王军锋,王涛,张伟..一种改进的小波阈值图像去噪综合模型[J].计算机技术与发展,2013,(5):50-53,4.基金项目
国家自然科学基金资助项目(91120014) （91120014）
