Image coding for digitized libraries

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buir.advisorÇetin, A. Enis
dc.contributor.authorGerek, Ömer Nezih
dc.date.accessioned2016-01-08T20:20:20Z
dc.date.available2016-01-08T20:20:20Z
dc.date.issued1998
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionAnkara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1998.en_US
dc.descriptionThesis (Ph.D.) -- Bilkent University, 1998.en_US
dc.descriptionIncludes bibliographical references leaves 104-113en_US
dc.description.abstractIII this thesis, image coding methods for two basic image types are developed under a digitized library framework. The two image types are gray tone or color images, and binary textual images, which are the digitized image versions of text documents. The grciy tone images are encoded using an adaptive subband decomposition followed by zerotree quantizers. The adaptive sub- l)and decomposition filter bank adaptively updates the filter bank coefficients in which the values of one of the subbands is predicted from the other sub- band. It is observed that the adaptive subband decomposition performs better than a regulcir subband decomposition with a fixed filter bank in terms of compression. For the binary textual images, a compression algorithm using binary subband decomposition followed by a textual image compression (TIC) method that exploits the redundancy in repeating characters is developed. The binary subband decomposition yields binary sub-images, and the TIC method is applied to the low band sub-image. Obtaining binary sub-images improves compression results as well as pattern matching time of the TIC method. Simulation results for both adaptive subband decomposition and multiresolution TIC methods indicate improvements over the methods described in the literature.en_US
dc.description.degreePh.D.en_US
dc.description.statementofresponsibilityGerek, Ömer Nezihen_US
dc.format.extentxv, 113 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/18552
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDigitized Librariesen_US
dc.subjectImage Compressionen_US
dc.subjectAdaptive Subband Decompositionen_US
dc.subjectTextual Image Compressionen_US
dc.subjectBinary Subband Decompositionen_US
dc.subjectBinary Image Codingen_US
dc.subjectDocument Retrievalen_US
dc.subject.lccZ681.3.D53 G47 1998en_US
dc.subject.lcshDigital libraries.en_US
dc.titleImage coding for digitized librariesen_US
dc.typeThesisen_US

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