现代电子技术Issue(14)：93-95,3.
基于小波变换的图像去噪方法研究
Research of image denoising method based on wavelet transform
摘要
Abstract
Image denoising is an old problem,but a hot topic of current research. The image wavelet denoising algorithm has achieved some progress,but many problems still need to be solved in this area. In order to further improve the denoising quality and improve the image visual effects,three typical algorithms(VisuShrink algorithm,wavelet denoising method based on Gauss mixture model,and algorithm combining median filtering with wavelet denoising)are selected respectively from three methods:wavelet threshold shrinkage denoising method,wavelet denoising method based on mixture model,and combination of wavelet denoising algorithm and other algorithms. The current typical three types of image denoising methods based on wavelet transform are studied. The study result shows that,for a single noise,the corresponding some algorithm is possible to achieve ideal effect;for the mixed noise,only by combining several algorithms,can better results be achieved,since a single algorithm’ s effect is relatively poor. Therefore,the direction of the future development of image denoising research is pointed out in this pa⁃per.关键词
图像去噪/小波阀值萎缩法/混合模型/中值滤波Key words
image denoising/wavelet threshold atrophy method/mixture model/median filtering分类
信息技术与安全科学引用本文复制引用
..基于小波变换的图像去噪方法研究[J].现代电子技术,2013,(14):93-95,3.基金项目
国家自然科学基金（61152003）；四川省教育厅青年基金项目 （）
