Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/446132
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-01-13T16:47:26Z-
dc.date.available2023-01-13T16:47:26Z-
dc.identifier.urihttp://hdl.handle.net/10603/446132-
dc.description.abstractnewline
dc.format.extentxvi., 122 pages
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeep Convolutional Neural Networks for Single Image Super Resolution and Compression Artifacts Reduction
dc.title.alternative
dc.creator.researcherAmaranageswarao., Gadipudi
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.note
dc.contributor.guideS., Deivalakshmi
dc.publisher.placeTiruchirappalli
dc.publisher.universityNational Institute of Technology Tiruchirappalli
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered
dc.date.completed2021
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File89.61 kBAdobe PDFView/Open
02_prelim.pdf163.82 kBAdobe PDFView/Open
03_content.pdf30.77 kBAdobe PDFView/Open
04_abstract.pdf30.16 kBAdobe PDFView/Open
05_chapter 1.pdf48.67 kBAdobe PDFView/Open
06_chapter 2.pdf43.77 kBAdobe PDFView/Open
07_chapter 3.pdf594.67 kBAdobe PDFView/Open
08_chapter 4.pdf527.63 kBAdobe PDFView/Open
09_chapter 5.pdf558.95 kBAdobe PDFView/Open
10_chapter 6.pdf2.27 MBAdobe PDFView/Open
11_annexures.pdf70.51 kBAdobe PDFView/Open
80_recommendation.pdf116.5 kBAdobe PDFView/Open


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