YEARS

2004-2007

AUTHORS

Daniel J Graham

TITLE

Visual Coding and the Statistics of Natural Scenes

ABSTRACT

DESCRIPTION (provided by applicant): The goal of this research project is to characterize the space of images in the natural world in a statistical sense. By understanding what correlations are likely to occur in the visual world, we can draw conclusions about how the visual system uses these regularities to process information in an efficient way. The first experiment is designed to find the range of intensities typical in natural scene images through an analysis of pixel intensity histograms. This research would be critical for an understanding of the physiology of the retina, where information about the visual world is gathered. The second experiment will investigate the structure of retinal ganglion cells. We seek to understand why these cells, which are one of the first levels of processing after photoreceptors, have localized, center-surround sensitivity. We will bring together our results from the first two experiments to compliment concurrent work being done in the lab on massively over complete coding in the visual system. This research program has important implications about how the visual system evolved to its current robust, efficient structure. By determining the mechanisms at work in coding early vision, our study may suggest new therapeutic strategies in the retina and new technologies in synthetic vision.

FUNDED PUBLICATIONS

  • Statistical regularities of art images and natural scenes: spectra, sparseness and nonlinearities.
  • Can the theory of "whitening" explain the center-surround properties of retinal ganglion cell receptive fields?
  • Variations in intensity statistics for representational and abstract art, and for art from the Eastern and Western hemispheres.
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    20 TRIPLES      17 PREDICATES      21 URIs      9 LITERALS

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    1 grants:92b30d3f8425dad98f93064c11a29cd6 sg:abstract DESCRIPTION (provided by applicant): The goal of this research project is to characterize the space of images in the natural world in a statistical sense. By understanding what correlations are likely to occur in the visual world, we can draw conclusions about how the visual system uses these regularities to process information in an efficient way. The first experiment is designed to find the range of intensities typical in natural scene images through an analysis of pixel intensity histograms. This research would be critical for an understanding of the physiology of the retina, where information about the visual world is gathered. The second experiment will investigate the structure of retinal ganglion cells. We seek to understand why these cells, which are one of the first levels of processing after photoreceptors, have localized, center-surround sensitivity. We will bring together our results from the first two experiments to compliment concurrent work being done in the lab on massively over complete coding in the visual system. This research program has important implications about how the visual system evolved to its current robust, efficient structure. By determining the mechanisms at work in coding early vision, our study may suggest new therapeutic strategies in the retina and new technologies in synthetic vision.
    2 sg:endYear 2007
    3 sg:fundingAmount 131075.0
    4 sg:fundingCurrency USD
    5 sg:hasContribution contributions:afdb8108bd065fd5ab4d03694fd6c582
    6 sg:hasFieldOfResearchCode anzsrc-for:11
    7 anzsrc-for:1109
    8 sg:hasFundedPublication articles:1561f1eec6ea5a3c99c6cf1bfe045b6f
    9 articles:4846d4e5e0fba4ea41fc1f6415b43085
    10 articles:b3f98b9c49e098c98d69bfd43750797a
    11 sg:hasFundingOrganization grid-institutes:grid.280030.9
    12 sg:hasRecipientOrganization grid-institutes:grid.5386.8
    13 sg:language English
    14 sg:license http://scigraph.springernature.com/explorer/license/
    15 sg:scigraphId 92b30d3f8425dad98f93064c11a29cd6
    16 sg:startYear 2004
    17 sg:title Visual Coding and the Statistics of Natural Scenes
    18 sg:webpage http://projectreporter.nih.gov/project_info_description.cfm?aid=7057361
    19 rdf:type sg:Grant
    20 rdfs:label Grant: Visual Coding and the Statistics of Natural Scenes
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