Channel-Wise Autoregressive Entropy Models for Learned Image Compression

In learning-based approaches to image compression, codecs are developed by optimizing a computational model to minimize a rate-distortion objective. Currently, the most effective learned image codecs take the form of an entropy-constrained autoencoder with an entropy model that uses both forward and...

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Veröffentlicht in:	Proceedings - International Conference on Image Processing S. 3339 - 3343
Hauptverfasser:	Minnen, David, Singh, Saurabh
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2020
Schlagworte:	Adaptation models Adaptive Entropy Modeling Bit rate Codecs Entropy Image coding Image Compression Neural Networks Predictive models Training
ISSN:	2381-8549
Online-Zugang:	Volltext
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