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dc.contributor.authorGRAZZINI Jacopoen_GB
dc.contributor.authorSOILLE Pierreen_GB
dc.date.accessioned2011-01-11T08:56:28Z-
dc.date.available2010-11-22en_GB
dc.date.available2011-01-11T08:56:28Z-
dc.date.created2010-11-16en_GB
dc.date.issued2010en_GB
dc.date.submitted2010-06-09en_GB
dc.identifier.citationProceedings of the 20th International Conference On Pattern Recognition - ICPR 2010, ISBN: 978-0-7695-4109-9 p. 4585-4589en_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC59063-
dc.description.abstractIn this paper, we present a simple and heuristic ramp sharpening algorithm that achieves local contrast enhancement of vector-valued images. The proposed algorithm performs a local comparison of intensity values as well as gradient strenght and directional information derived from the gradient structure tensor so that the sharpening is applied only for pixels found on the ramps around true edges. This way, the contrast between objects and regions separated by a ramp is enhanced correspondingly, avoiding ringing artefacts. It is found that applying this technique in an iterative manner on blurred imagery produces sharpening preserving both structure and signature of the image. The final approach reaches a good compromise between complexity and effectiveness for image simplification, enhancing in an efficient manner the image details and maintaining the overall image appearance.en_GB
dc.description.sponsorshipJRC.DG.G.2-Global security and crisis managementen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherIEEE Computer Society Pressen_GB
dc.relation.ispartofseriesJRC59063en_GB
dc.titleIterative Ramp Sharpening for Structure/Signature-Preserving Simplification of Imagesen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1109/ICPR.2010.1120en_GB
JRC Directorate:Space, Security and Migration

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