Literature DB >> 10770831

The multifractal structure of contrast changes In natural images: from sharp edges To textures

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Abstract

We present a formalism that leads naturally to a hierarchical description of the different contrast structures in images, providing precise definitions of sharp edges and other texture components. Within this formalism, we achieve a decomposition of pixels of the image in sets, the fractal components of the image, such that each set contains only points characterized by a fixed strength of the singularity of the contrast gradient in its neighborhood. A crucial role in this description of images is played by the behavior of contrast differences under changes in scale. Contrary to naive scaling ideas where the image is thought to have uniform transformation properties (Field, 1987), each of these fractal components has its own transformation law and scaling exponents. A conjecture on their biological relevance is also given.

Year:  2000        PMID: 10770831     DOI: 10.1162/089976600300015583

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  4 in total

1.  Spatial characterization of landscapes through multifractal analysis of DEM.

Authors:  P L Aguado; J P Del Monte; R Moratiel; A M Tarquis
Journal:  ScientificWorldJournal       Date:  2014-08-06

2.  A Feature based Reconstruction Model for Fluorescence Microscopy Image Denoising.

Authors:  Suman Kumar Maji; Hussein Yahia
Journal:  Sci Rep       Date:  2019-05-22       Impact factor: 4.379

3.  Nonlinear Spatial Integration Underlies the Diversity of Retinal Ganglion Cell Responses to Natural Images.

Authors:  Dimokratis Karamanlis; Tim Gollisch
Journal:  J Neurosci       Date:  2021-03-04       Impact factor: 6.167

4.  Multifractal framework based on blanket method.

Authors:  Milorad P Paskaš; Irini S Reljin; Branimir D Reljin
Journal:  ScientificWorldJournal       Date:  2014-01-22
  4 in total

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