Fractal-based methods in imaging

dc.contributor.advisorKunze, H.
dc.contributor.authorDemers, Matthew
dc.date.accessioned2020-08-24T15:55:29Z
dc.date.available2020-08-24T15:55:29Z
dc.date.copyright2007
dc.degree.departmentDepartment of Mathematics and Statisticsen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Scienceen_US
dc.description.abstractWith the age of computing, fractal imaging has become a well-developed research area. A wide variety of applications are explored in this thesis. We discuss a novel method to colour fractal attractor sets. Since such sets can resemble real objects, the method has potential applicability in the computer graphics industry. We also consider the application of these ideas to the area of image cryptography and information hiding. Switching focus to general digital images, we look at the theory and practice of fractal image compression. Our goal, however, is to extend the ideas used in compression to produce schemes for image denoising and image recovery. Some encouraging results for such applications are presented.en_US
dc.identifier.urihttps://hdl.handle.net/10214/20605
dc.language.isoen
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectfractal imagingen_US
dc.subjectcolouren_US
dc.subjectfractal attractor setsen_US
dc.subjectimage cryptographyen_US
dc.subjectinformation hidingen_US
dc.subjectfractal image compressionen_US
dc.subjectcompressionen_US
dc.subjectimage denoisingen_US
dc.subjectimage recoveryen_US
dc.titleFractal-based methods in imagingen_US
dc.typeThesisen_US

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