A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction
Reconstructing images from their noisy and incomplete measurements is always a challenge especially for medical MR image with important details and features. This work proposes a novel dictionary learning model that integrates two sparse regularization methods: the total generalized variation (TGV)...
Main Authors: | Hongyang Lu, Jingbo Wei, Qiegen Liu, Yuhao Wang, Xiaohua Deng |
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Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
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Series: | International Journal of Biomedical Imaging |
Online Access: | http://dx.doi.org/10.1155/2016/7512471 |
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