Denoising 3D Magnetic Resonance Images Based on Low-Rank Tensor Approximation With Adaptive Multirank Estimation
The magnetic resonance (MR) imaging technique is widely used in clinical diagnosis. Unfortunately, in practice, the MR images inevitably suffer from noise, which severely degrades image quality and accordingly impacts on the accuracy of clinical diagnosis. By exploiting both the nonlocal similarity...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8746164/ |