CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
肖志云; 彭思龙; 韩华; XiaoZhiyun; PengSilong; HanHua,
Source Publication计算机辅助设计与图形学学报
Volume17(7) (EI)Issue:2005年07期Pages:1536-1543
AbstractIn this paper,an algorithm based on Local Gaussian Mixture Model of Dual—Tree Complex Wavelet Transform is proposed for image denoising.A classification is performed based on posterior probability of the Gaussian Mixture Model,with different class matching different Gaussian model.Then subband coefficients are estimated by using Maximum a Posteriori estimator.As approximate shift invarianee and good directionality of DT can remove“ringing”of the edge region.Experimental results show an improved denoising performance of PSNR and human vision in comparison with other methods.
Keyword图像降噪 / 二元树复小波变换 / 局部高斯混合模型 / 最大后验概率估计 / 最大期望算法
Document Type期刊论文
Corresponding Author肖志云
Recommended Citation
GB/T 7714
肖志云,彭思龙,韩华,等. 二元树复小波域的局部高斯混合模型图像降噪[J]. 计算机辅助设计与图形学学报,2005,17(7) (EI)(2005年07期):1536-1543.
APA 肖志云,彭思龙,韩华,XiaoZhiyun,PengSilong,&HanHua,.(2005).二元树复小波域的局部高斯混合模型图像降噪.计算机辅助设计与图形学学报,17(7) (EI)(2005年07期),1536-1543.
MLA 肖志云,et al."二元树复小波域的局部高斯混合模型图像降噪".计算机辅助设计与图形学学报 17(7) (EI).2005年07期(2005):1536-1543.
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