Persistent Link:
http://hdl.handle.net/10150/289128
Title:
New aspects of digital color image enhancement
Author:
Thomas, Bruce Allen
Issue Date:
1999
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The spatial and chromatic dimensions of digital color image information exhibit unique interrelationships that invite new, color-image-specific, processing strategies. A quantitative exploration of these interrelationships is performed. The resulting data reveals key traits that lead to two new methods of color image enhancement. The first is a method of color image contrast enhancement that exploits the existence of high-pass spatial energy in certain chromatic color components. We present a new, spatially adaptive approach that acknowledges the spatially varying nature of cross-component correspondences. This new approach is suitable for use in any color space. The second is a method of color image denoising that exploits the unique correspondences of polychromatic multiscale edges at fine scales of analysis. The multiscale edges are derived using wavelet methods. This approach preserves image details and noticeably outperforms wavelet thresholding methods of denoising in images containing natural foliage.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Engineering, Electronics and Electrical.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Rodriguez, Jeffrey J.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleNew aspects of digital color image enhancementen_US
dc.creatorThomas, Bruce Allenen_US
dc.contributor.authorThomas, Bruce Allenen_US
dc.date.issued1999en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe spatial and chromatic dimensions of digital color image information exhibit unique interrelationships that invite new, color-image-specific, processing strategies. A quantitative exploration of these interrelationships is performed. The resulting data reveals key traits that lead to two new methods of color image enhancement. The first is a method of color image contrast enhancement that exploits the existence of high-pass spatial energy in certain chromatic color components. We present a new, spatially adaptive approach that acknowledges the spatially varying nature of cross-component correspondences. This new approach is suitable for use in any color space. The second is a method of color image denoising that exploits the unique correspondences of polychromatic multiscale edges at fine scales of analysis. The multiscale edges are derived using wavelet methods. This approach preserves image details and noticeably outperforms wavelet thresholding methods of denoising in images containing natural foliage.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectEngineering, Electronics and Electrical.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorRodriguez, Jeffrey J.en_US
dc.identifier.proquest9965939en_US
dc.identifier.bibrecord.b40485821en_US
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