Color histogram equalization through mesh deformation

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dc.contributor.author Pichon, Eric
dc.contributor.author Niethammer, Marc
dc.contributor.author Sapiro, Guillermo
dc.date.accessioned 2009-11-30T20:10:36Z
dc.date.available 2009-11-30T20:10:36Z
dc.date.issued 2003-09
dc.identifier.citation Eric Pichon, Marc Niethammer, and Guillermo Sapiro, "Color histogram equalization through mesh deformation," International Conference on Image Processing, 2003, II- 117-20. en
dc.identifier.isbn 0-7803-7750-8
dc.identifier.issn 1522-4880
dc.identifier.uri http://hdl.handle.net/1853/31236
dc.description ©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. en
dc.description Presented at ICIP-2003 : 2003 International Conference on Image Processing, September 14-17, 2003, Barcelona, Spain.
dc.description.abstract In this paper we propose an extension of grayscale histogram equalization for color images. For aesthetic reasons, previously proposed color histogram equalization techniques do not generate uniform color histograms. Our method will always generate an almost uniform color histogram thus making an optimal use of the color space. This is particularly interesting for pseudo-color scientific visualization. The method is based on deforming a mesh in color space to fit the existing histogram and then map it to a uniform histogram. It is a natural extension of grayscale histogram equalization and it can be applied to spatial and color space of any dimension. en
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.subject Image color analysis en
dc.subject Image enhancement en
dc.subject Mesh generation en
dc.title Color histogram equalization through mesh deformation en
dc.type Proceedings en
dc.contributor.corporatename University of Minnesota. School of Mathematics
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering
dc.publisher.original Institute of Electrical and Electronics Engineers


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