Entropy And Vision

Rami Kanhouche

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Entropy And Vision

Rami Kanhouche

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Abstract

In vector quantization the number of vectors used to construct the codebook is always an undefined problem, there is always a compromise between the number of vectors and the quantity of information lost during the compression. In this text we present a minimum of Entropy principle that gives solution to this compromise and represents an Entropy point of view of signal compression in general. Also we present a new adaptive Object Quantization technique that is the same for the compression and the perception.

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BibTeX RIS

Rami Kanhouche. 2006-07-18. Entropy And Vision. https://arxiv.org/abs/math/0606643

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