计算机与现代化Issue(11)：13-16,4.DOI:10.3969/j.issn.1006-2475.2013.11.003
基于小波包变换的非局部均值去噪方法
Non-local Mean Algorithm Based on Wavelet Packet Transform
摘要
Abstract
Based on the non-local means(NL-means) filter algorithm, in order to improve the image quality, a NL-means algo-rithm based on wavelet packet transform is proposed .Firstly, the image is transformed by the wavelet packet , and the wavelet do-main coefficients are applied to estimate the Gaussian noise parameters of the image , then the similarity of the high-frequency sub-band ’ s wavelet coefficients is calculated as the weights to adjust the wavelet coefficients , finally the image is reconstructed by the inverse wavelet packet transform .Experiment results show that this algorithm can preserve the edge detail information effectively , and get a superior denoising performance than the original non-local mean algorithm .关键词
非局部均值/图像去噪/小波包变换/参数估计Key words
non-local means algorithm/image denoising/wavelet packet transform/parameter estimate分类
信息技术与安全科学引用本文复制引用
龙钧宇,余爱民..基于小波包变换的非局部均值去噪方法[J].计算机与现代化,2013,(11):13-16,4.基金项目
广东省2012年社会发展重点项目（2012 A030400029）；广东省2009年社会发展重点科技计划项目 （）
