摘要
提出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.该模型针对射频场所引起的磁共振图像灰度值不均匀问题,将在Rician噪声模型下的最大后验估计与全变差正则化模型相结合,在模型中引入了瞬时变化系数.根据Euler-Lagrange方程,给出了模型的解及方程解的离散形式.数值实验验证了所提算法的有效性.
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.
出处
《吉林大学学报(理学版)》
CAS
CSCD
北大核心
2013年第2期289-293,共5页
Journal of Jilin University:Science Edition
基金
国家自然科学基金(批准号:10926157)
关键词
磁共振图像
图像去噪
全变差模型
最大后验估计
magnetic resonance imaging
image denoising
total variation model
maximum posterior probability estimation