四川理工学院学报：自然科学版2012，Vol.25Issue(3)：55-58,4.
基于拉普拉斯模型的双树复小波域图像降噪
Image Denoising Wsing Laplacian Model in Dual Tree Complex Wavelet Domain
摘要
Abstract
Through discussing the characteristics of the image＇s complex wavelet coefficients,which keeps to the Lapla- cian distribution, the maximum posterior probability estimate is adopted and a kind of complex wavelet soft threshold denois- ing method is derived. In this experiment, the method compares to the gaussian distribution model in the wavelet domain and in the complex wavelet domain respectively. The experiment results show that the proposed model can remove the noise, pre- serve more image details and gain higher peak signal-noise ratio. It is of good performance in image denoising.关键词
复小波/拉普拉斯模型/贝叶斯法则/最大后验概率估计Key words
complex wavelet/Laplace distribution/Bayes theorem/maximum a posteriori probability estimation分类
信息技术与安全科学引用本文复制引用
陈明举,杨平先..基于拉普拉斯模型的双树复小波域图像降噪[J].四川理工学院学报：自然科学版,2012,25(3):55-58,4.基金项目
基金项目：四川省教育厅基金项目 （）
四川省教育厅青年基金项目 （）
