吉林大学学报（理学版）2013，Vol.51Issue(2)：289-293,5.DOI:10.7694/jdxblxb20130228
一种基于最大后验概率与图像局部统计量的磁共振图像去噪模型
A Variational Model Based on Maximum Posterior Probability for Restoration of MR Images Corrupted by Rician Noise
摘要
Abstract
We proposed a variational model to restore images degraded by Rician noise. This model was established by considering total variation regularization with a fidelity term involving the Rician probability distribution and instaneous variation coefficient. The quantitative and the qualitative measures used as the quality metrics demonstrate the ability of the proposed method for noise suppression.关键词
磁共振图像/图像去噪/全变差模型/最大后验估计Key words
magnetic resonance imaging/ image denoising/ total variation model/ maximum posterior probability estimation分类
信息技术与安全科学引用本文复制引用
王洋,左平..一种基于最大后验概率与图像局部统计量的磁共振图像去噪模型[J].吉林大学学报（理学版）,2013,51(2):289-293,5.基金项目
国家自然科学基金(批准号:10926157). （批准号:10926157）
