Efficient Video Super-Resolution via Hierarchical Temporal Residual Networks
Super-Resolving (SR) video is more challenging compared with image super-resolution because of the demanding computation time. To enlarge a low-resolution video, the temporal relationship among frames must be fully exploited. We can model video SR as a multi-frame SR problem and use deep learning me...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9490661/ |