计算机技术与发展Issue(11)：100-102,106,4.DOI:10.3969/j.issn.1673-629X.2014.11.025
基于一种新的阈值函数的小波图像去噪
Wavelet Image Denoising Based on a New Threshold Function
摘要
Abstract
An improved threshold function is presented based on the wavelet shrinkage put forward by D. L. Donoho and I. M. Johnstone. This function has two thresholds,it retains the useful information as much as possible by gradually increasing the shrink of wavelet coeffi-cients between the two thresholds,until the coefficients are reduced to zero. In this paper,introduce a control variable to adjust the shrink. Compared with the traditional soft and hard threshold methods,the greatest superiority of this new function is continuous and reducing the error of estimated coefficient. Finally,demonstrate and validate the denoising effect of this new threshold function by simulation experi-ment from vision and objective evaluation standards ( Peak Signal to Noise Ratio and Root-Mean-Square Error) .关键词
图像去噪/小波变换/阈值函数/峰值信噪比/均方根误差Key words
image denoising/wavelet transform/threshold function/Peak Signal to Noise Ratio/Root-Mean-Square Error分类
信息技术与安全科学引用本文复制引用
李智,张根耀,王蓓..基于一种新的阈值函数的小波图像去噪[J].计算机技术与发展,2014,(11):100-102,106,4.基金项目
陕西省教育教改项目(2013JK1124) （2013JK1124）
2013年延安大学研究生教育创新计划项目 （）
