Rate-Distortion Optimized Encoding for Deep Image Compression
Deep-learned variational auto-encoders (VAE) have shown remarkable capabilities for lossy image compression. These neural networks typically employ non-linear convolutional layers for finding a compressible representation of the input image. Advanced techniques such as vector quantization, context-a...
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| Main Authors: | , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/bb87eff80345459faf4e5ddac9532e1c |
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