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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Autores principales: Michael Schafer, Sophie Pientka, Jonathan Pfaff, Heiko Schwarz, Detlev Marpe, Thomas Wiegand
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/bb87eff80345459faf4e5ddac9532e1c
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