Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/41948
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialCertain investigations on lifting Scheme based wavelet image Compression techniquesen_US
dc.date.accessioned2015-05-20T08:26:22Z-
dc.date.available2015-05-20T08:26:22Z-
dc.date.issued2015-05-20-
dc.identifier.urihttp://hdl.handle.net/10603/41948-
dc.description.abstractThe compression of digital signals has assumed greater importance newlinein the use storage and transmission of digital images A number of newlinecompression algorithms are already available for removing the redundancy in newlineimages But many of the conventional approaches fail to exploit the newlinesignificant image features in the reconstructed images So to improve the newlinesubjective and objective qualities of the reconstructed images a few Lifting newlinebased wavelet image compression algorithms are proposed in this thesis newlineThe main aim of this thesis is to propose novel compression newlinealgorithms that can adaptively remove any redundancy in images Lifting newlinebased wavelet transform together with Spatial and Direction adaptive methods newlineform the backbone for the proposed techniques The following five techniques newlineare proposed newline Lifting Scheme using Infinite Impulse Response IIR newlineRecursive filters derived from discrete interpolatory splines newline ii Implementation of IIR orthogonal wavelet filters in Lifting newlineScheme newline iii Spatial Adaptive Prediction for Lifting Scheme newline iv Spatial Adaptive Primal and Dual Lifting scheme based on newlineMean Square Error minimization and newline v Adaptive Directional Lifting newline newlineen_US
dc.format.extentxxiv, 196p.en_US
dc.languageEnglishen_US
dc.relationp185-193.en_US
dc.rightsuniversityen_US
dc.titleCertain investigations on lifting Scheme based wavelet image Compression techniquesen_US
dc.title.alternativeen_US
dc.creator.researcherSatyabama Ren_US
dc.subject.keywordAdaptive Directional Liftingen_US
dc.subject.keywordInfinite Impulse Responseen_US
dc.subject.keywordSpatial Adaptive Predictionen_US
dc.description.notereference p185-193.en_US
dc.contributor.guideAnnadurai Sen_US
dc.publisher.placeChennaien_US
dc.publisher.universityAnna Universityen_US
dc.publisher.institutionFaculty of Information and Communication Engineeringen_US
dc.date.registeredn.d,en_US
dc.date.completed01/05/2014en_US
dc.date.awarded30/05/2014en_US
dc.format.dimensions23cm.en_US
dc.format.accompanyingmaterialNoneen_US
dc.source.universityUniversityen_US
dc.type.degreePh.D.en_US
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File25.92 kBAdobe PDFView/Open
02_certificate.pdf372.99 kBAdobe PDFView/Open
03_abstract.pdf10.97 kBAdobe PDFView/Open
04_acknowledgement.pdf5.65 kBAdobe PDFView/Open
05_content.pdf81.02 kBAdobe PDFView/Open
06_chapter1.pdf144.08 kBAdobe PDFView/Open
07_chapter2.pdf662.89 kBAdobe PDFView/Open
08_chapter3.pdf1.81 MBAdobe PDFView/Open
09_chapter4.pdf491.22 kBAdobe PDFView/Open
10_chapter5.pdf462.51 kBAdobe PDFView/Open
11_chapter6.pdf1.16 MBAdobe PDFView/Open
12_chapter7.pdf1.22 MBAdobe PDFView/Open
13_chapter8.pdf122.04 kBAdobe PDFView/Open
14_reference.pdf24.68 kBAdobe PDFView/Open
15_publication.pdf8.07 kBAdobe PDFView/Open
16_vitae.pdf5.18 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.