MH-Net: A Learnable Multi-Hypothesis Network for Compressed Video Sensing
This paper establishes a novel recovery network called MH-Net-a framework for compressed video sensing (CVS) based on recently emerging deep neural networks (DNNs) techniques. MH-Net exploits temporal correlation between frames in the form of multi-hypothesis (MH) prediction, and learns a high-dimen...
| 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/8906119/ |