Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144598
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dc.contributor.authorOng, Ming Yangen_US
dc.date.accessioned2020-11-16T01:11:32Z-
dc.date.available2020-11-16T01:11:32Z-
dc.date.issued2020-
dc.identifier.urihttps://hdl.handle.net/10356/144598-
dc.description.abstractOver the years, many people have been trying various methods to recover high-frequency image details from lower resolution images. This is mostly due to the rising demands for high-resolution images can be observed for the following fields: Medical, Astronomy and Social Media today. In this report, I will be presenting the different methods I have tested to improve Image Super-Resolution. Specialized area like Face Super-Resolution and Reference Image Super-Resolution will also be introduced and explored in this project. Extensive experiments have been performed to discover underlying reasons for the results achieved.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Artificial intelligenceen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen_US
dc.titleOn the exploration of referenced-based super resolution for face imagesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Change Loyen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailccloy@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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