A hybrid total-variation minimization approach to compressed sensing
文献类型：会议论文
| 作者 | Yong Wang; Dong Liang; Yuchou Chang; Leslie Ying |
| 出版日期 | 2012 |
| 会议名称 | 9th IEEE International Symposium on Biomedical Imaging (ISBI) |
| 会议地点 | 西班牙 |
| 英文摘要 | Compressed sensing (CS) has been successfully applied to accelerate conventional magnetic resonance imaging (MRI) with Fourier encoding. Total variation (TV) is usually used as the regularization function for image reconstruction. However, it is know that such 1 - based minimization algorithm needs more measurements than the 0 -based ones. On the other hand, 0 -based minimization is computational intractable and unstable. In this paper, we propose a hybrid total variation (HTV) which effectively integrates both 1 - norm and 0 -norm of the image gradient by introducing a threshold. The HTV minimization algorithm has the benefits of both the robustness of 1 and fewer measurements of 0 . Simulations and in vivo experiments demonstrate the proposed method outperforms the conventional TV minimization algorithm. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4068]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Yong Wang,Dong Liang,Yuchou Chang,et al. A hybrid total-variation minimization approach to compressed sensing[C]. 见:9th IEEE International Symposium on Biomedical Imaging (ISBI). 西班牙. |
入库方式： OAI收割
来源：深圳先进技术研究院
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