现代电子技术2016，Vol.39Issue(17)：20-22,25,4.DOI:10.16652/j.issn.1004-373x.2016.17.005
一种改进的小波阈值去噪方法
An improved wavelet threshold denoising method
摘要
Abstract
On the basis of the original wavelet threshold denoising(WTD)method,an improved image denoising method (FastICA⁃MPSO⁃WTD) is proposed. The method combines the fast independent component analysis (FastICA) with wavelet threshold denoising(WTD)for image denoising. In order to make the effect of wavelet threshold denoising better,the modified particle swarm optimization(MPSO)is used to optimize the parameter of wavelet threshold. To demonstrate the effectiveness of the proposed method,a test image was selected to conduct the denoising contrast experiment,in which the peak signal⁃to⁃noise ratio (PSNR) was used to evaluate the denoising effect. The experimental results show that the improved method (FastICA⁃MPSO⁃WTD)can improve the denoising effect effectively.关键词
图像去噪/FastICA/MPSO/小波阈值Key words
image denoising/FastICA/MPSO/wavelet threshold分类
信息技术与安全科学引用本文复制引用
韩子扬,杜利明,王鑫,陈楠..一种改进的小波阈值去噪方法[J].现代电子技术,2016,39(17):20-22,25,4.基金项目
国家自然科学基金 （）
