Open AccessSimplified entropy model for reduced-complexity end-to-end variational autoencoder with application to on-board satellite image compression
Author(s) -
Vinícius Alves de Oliveira,
Thomas Oberlin,
Marie Chabert,
Charly Poulliat,
Mickaël Bruno,
Christophe Latry,
Mikaël Carlavan,
Simon Henrot,
Frédéric Falzon,
Roberto Camarero
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - autoencoder , algorithm , computer science , encoder , entropy (arrow of time) , entropy encoding , data compression , image compression , artificial intelligence , convolutional neural network , lossy compression , vector quantization , pattern recognition (psychology) , artificial neural network , image processing , image (mathematics) , physics , quantum mechanics , operating system
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