A New Information Measure for Natural Images

Authors:
Kostadin Koroutchev;José R. Dorronsoro
Affiliations:
Depto. de Ingenierá Informática and Instituto de Ingeniería del Conocimiento, Universidad Autónoma de Madrid, Madrid, Spain 28049;Depto. de Ingenierá Informática and Instituto de Ingeniería del Conocimiento, Universidad Autónoma de Madrid, Madrid, Spain 28049
Venue:
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Year:
2009

Citing 3
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Abstract

Although natural images are a very small subset of all images, the direct computation of their block densities is not possible. On the other hand, the success of some image processing methods, most particularly, fractal compression, indicates that they somehow are able to capture at least part of the natural image statistics. In this work we shall show how a concrete procedure, hash based fractal image compression, can be used to derive quite precise mean-and-variance normalized block statistics. We shall use them to define an image entropy measure and a an image representation and discuss their relationship with other widely used image information measures.