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Multispectral image compression using universal vector quantization

Published in Information Theory Workshop • Sep 1, 2016
NobleIDNI8P44W83R85S84
Authors:
Diego Valsesia
,
Petros T. Boufounos

Abstract

We propose a new method for low-complexity compression of multispectral images based on universal vector quantization. Our approach generalizes the recently developed theory of universal scalar quantization to vector quantization, and uses it in the context of distributed coding. We exploit the avai...

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