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

J4 ›› 2013, Vol. 51 ›› Issue (02): 289-293.

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A Variational Model Based on Maximum Posterior Probability forRestoration of MR Images Corrupted by Rician Noise

WANG Yang^1,2, ZUO Ping³

1. Center for Computer Fundamental Education, Jilin University, Changchun 130012, China;2. College of Computer Science and Technology, Jilin University, Changchun 130012, China;3. Department of Foundation, Aviation University of Air Force, Changchun 130022, China

Received:2012-09-12 Online:2013-03-26 Published:2013-03-27
Contact: ZUO Ping E-mail:nancy98.good@163.com

Abstract

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.

Key words: magnetic resonance imaging, image denoising, total variation model, maximum posterior probability estimation

CLC Number:

TP391

WANG Xiang, ZUO Beng. A Variational Model Based on Maximum Posterior Probability forRestoration of MR Images Corrupted by Rician Noise[J].J4, 2013, 51(02): 289-293.

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A Variational Model Based on Maximum Posterior Probability forRestoration of MR Images Corrupted by Rician Noise

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