RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding
Published in IEEE Transactions on Image Processing (TIP), 2021
Investigated the effect of compression degradation for training. Proposed a new learned down-sampling-based video coding framework.
| Paper (Open Access) | Project Page | GitHub |
Recommended citation: Man M. Ho, Jinjia Zhou, Gang He. (2021). "RR-DnCNN v2.0: Enhanced Restoration-Reconstruction Deep Neural Network for Down-Sampling Based Video Coding." IEEE Transactions on Image Processing.
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