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Title: |
Entropy And Vision
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Signal Processing
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Date: |
6/26/2006
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Keywords: |
Entropy – Vector Quantization – compression – vision – perception – Object – Fractal
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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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12/9/2009
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New site for SEAAI is released
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