Self-Similarity Properties of Natural Images Resemble Those of Turbulent Flows

Antonio Turiel, Germán Mato, Néstor Parga, and Jean-Pierre Nadal
Phys. Rev. Lett. 80, 1098 – Published 2 February 1998
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Abstract

We show that the statistics of an edge type variable in natural images exhibits self-similarity properties which resemble those of local energy dissipation in turbulent flows. Our results show that self-similarity and extended self-similarity hold remarkably for the statistics of the local edge variance, and that the very same models can be used to predict all of the associated exponents. These results suggest using natural images as a laboratory for testing more elaborate scaling models of interest for the statistical description of turbulent flows. The properties we have exhibited are relevant for the modeling of the early visual system: They should be included in models designed for the prediction of receptive fields.

  • Received 4 September 1997

DOI:https://doi.org/10.1103/PhysRevLett.80.1098

©1998 American Physical Society

Authors & Affiliations

Antonio Turiel, Germán Mato, and Néstor Parga*

  • Departamento de Física Teórica, Universidad Autónoma de Madrid, Cantoblanco, 28049 Madrid, Spain

Jean-Pierre Nadal

  • Laboratoire de Physique Statistique de l'E.N.S., Ecole Normale Supérieure, 24, rue Lhomond, F-75231 Pairs Cedex 05, France

  • *To whom correspondence should be addressed.
  • Laboratoire associé au C.N.R.S. (U.R.A. 1306, à l'ENS, et aux Universités Pairs IV et Pairs VII.

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Issue

Vol. 80, Iss. 5 — 2 February 1998

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