Understanding multifractality: reconstructing images from edges

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dc.creatorTuriel, Antonio
dc.creatordel Pozo, Angela
dc.date1998-11-26
dc.date.accessioned2026-07-07T03:12:12Z
dc.date.available2026-07-07T03:12:12Z
dc.descriptionIt has been recently proven that natural images exhibit scaling properties analogue to those of turbulent flows. These properties allow regarding each image as a multifractal object, for which its most singular manifold conveys the most of the non-redundant structure. In the present work, we go further in this analysis, proposing a simple propagator that reconstructs the whole image from this set. This fact could have deep implications for biology, technology and statistical mechanics.
dc.descriptionLatex, 13 pages, 6 figures formed by 15 PostScript files. Higher quality pictures may be requested from authors
dc.identifierhttps://arxiv.org/abs/cond-mat/9811372
dc.identifierhttp://arxiv.org/abs/cond-mat/9811372
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/28817
dc.subjectStatistical Mechanics
dc.subjectDisordered Systems and Neural Networks
dc.titleUnderstanding multifractality: reconstructing images from edges
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