1998/02/02 by A. Turiel, Antonio Turiel, G. Mato +5 · 1 citation
Computer Science · Economics, Econometrics and Finance · Neuroscience · Physics and Astronomy · #Complex Systems and Time Series Analysis #Image and Signal Denoising Methods #Visual perception and processing mechanisms #cond-mat.stat-mech
paper · pdf · doi:10.1103/physrevlett.80.1098
published as Physical Review Letters, {\bf 80}(5), 1098-1101. (1998) · 8 pages, 4 figures, LaTeX
openalex publication_date 1998/02/02 · arxiv created 2001/07/14 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
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.