%0 Journal Article
%T Image Denoising Using Double-density Complex Wavelet Transform<br>一种新的双密度复小波域图像去噪算法
%A YUAN Bo
%A SHANG Zhao-wei
%A LANG Fang-nian
%A <br>袁博
%A 尚赵伟
%A 郎方年
%J 计算机科学
%D 2011
%I 
%X This paper proposed a new image denoising method based on the DoublcDensity Complex Wavelet I}ransform. The proposed algorithm uses the Double-Density Complex Wavelet Transform to decompose the denosied image,and permutes the decomposition coefficient to stress the edge information. The I3ivariate model under the maximum estimate of 13aycsian can exploit the intra scale and inter-scale corrclations of coefficients. Compared with some current outstanding denoising methods,the simulation results and analysis show that the proposed algorithm obviously outperforms in both Pcak Signal-to-Noise Ratio(PSNR) and visual quality, and effectively preserves detail and texture information of original images.
%K Image denosing
%K Double-density complex wavelet transform
%K Bayesian estimation
%K Bivariate model<br>图像降噪，双密度复小波，贝叶斯估计，双变量模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=AE6DC580F91FFBF648A4654B5A906D13&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=38B194292C032A66&sid=8BB50A069C48D50B&eid=E39A3F4E3A67639B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=15