Reduced-Complexity End-to-End Variational Autoencoder for on Board Satellite Image Compression

Recently, convolutional neural networks have been successfully applied to lossy image compression. End-to-end optimized autoencoders, possibly variational, are able to dramatically outperform traditional transform coding schemes in terms of rate-distortion trade-off; however, this is at the cost of...

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Detalhes bibliográficos

Principais autores:	Vinicius Alves de Oliveira, Marie Chabert, Thomas Oberlin, Charly Poulliat, Mickael Bruno, Christophe Latry, Mikael Carlavan, Simon Henrot, Frederic Falzon, Roberto Camarero
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-01-01
Colecção:	Remote Sensing
Assuntos:	remote sensing lossy compression on board compression transform coding rate-distortion JPEG2000
Acesso em linha:	https://www.mdpi.com/2072-4292/13/3/447
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