Neural Network-Based Video Compression Artifact Reduction Using Temporal Correlation and Sparsity Prior Predictions
Quantization in lossy video compression may incur severe quality degradation, especially at low bit-rates. Developing post-processing methods that improve visual quality of decoded images is of great importance, as they can be directly incorporated in any existing compression standard or paradigm. W...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9180276/ |