计算机工程2012，Vol.38Issue(5)：213-215,3.
基于四元数小波变换HMT模型的图像去噪
Image Denoising Based on HMT Model of Quaternion Wavelet Transform
摘要
Abstract
According to the Gibbs effect of image denoising in real wavelet transform domain, this paper proposes a Hidden Markov Tree(HMT) model based on Quaternion Wavelet Transform(QWT). The QWT theory and HMT are combined in this model which effective reflect the correlation between wavelet coefficient and capture the neighborhood statistical characteristics of wavelet coefficients. Experimental results show that the model both in Peak Signal to Noise Ratio(PSNR) and in the visual effect are better than many classic denoising method.关键词
四元数小波变换/实小波变换/隐马尔可夫树模型/图像去噪Key words
Quaternion Wavelet Transform(QWT)/real wavelet transform/Hidden Markov Tree(HMT) model/image denoising分类
信息技术与安全科学引用本文复制引用
殷明,刘卫..基于四元数小波变换HMT模型的图像去噪[J].计算机工程,2012,38(5):213-215,3.基金项目
安徽省自然科学基金资助项目(11040606M06) （11040606M06）
安徽省教育厅重点科研基金资助项目(J2010A282) （J2010A282）
