Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/554824
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dc.coverage.spatial
dc.date.accessioned2024-03-27T10:51:06Z-
dc.date.available2024-03-27T10:51:06Z-
dc.identifier.urihttp://hdl.handle.net/10603/554824-
dc.description.abstractnewline
dc.format.extentix,172
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleFortification of Conventional and Deep Learning Methods for Near Lossless Medial Image Compression Using Wavelet Subbands
dc.title.alternative
dc.creator.researcherPunitha, V
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideKalavathi, P
dc.publisher.placeDindigul
dc.publisher.universityThe Gandhigram Rural Institute
dc.publisher.institutionDepartment of Computer Science and Applications
dc.date.registered
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions35cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Applications

Files in This Item:
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01_title.pdfAttached File123.06 kBAdobe PDFView/Open
02_prelim pages.pdf440.98 kBAdobe PDFView/Open
03_content.pdf216.12 kBAdobe PDFView/Open
04_abstract.pdf187.05 kBAdobe PDFView/Open
05_chapter 1.pdf237.69 kBAdobe PDFView/Open
06_chapter 2.pdf387.97 kBAdobe PDFView/Open
07_chapter 3.pdf1.04 MBAdobe PDFView/Open
08_chapter 4.pdf1.9 MBAdobe PDFView/Open
09_chapter 5.pdf1.1 MBAdobe PDFView/Open
10_chapter 6.pdf1.26 MBAdobe PDFView/Open
11_chapter 7.pdf1.46 MBAdobe PDFView/Open
12_chapter 8.pdf1.35 MBAdobe PDFView/Open
13_chapter 9.pdf228.14 kBAdobe PDFView/Open
14_annexures.pdf393.56 kBAdobe PDFView/Open
80_recommendation.pdf347.45 kBAdobe PDFView/Open


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