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https://hdl.handle.net/10356/144598
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ong, Ming Yang | en_US |
dc.date.accessioned | 2020-11-16T01:11:32Z | - |
dc.date.available | 2020-11-16T01:11:32Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | https://hdl.handle.net/10356/144598 | - |
dc.description.abstract | Over 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.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.subject | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence | en_US |
dc.subject | Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision | en_US |
dc.title | On the exploration of referenced-based super resolution for face images | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Chen Change Loy | en_US |
dc.contributor.school | School of Computer Science and Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Computer Science) | en_US |
dc.contributor.supervisoremail | ccloy@ntu.edu.sg | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
CZ4079_Final_Year_Report (Ong Ming Yang).pdf Restricted Access | 36.14 MB | Adobe PDF | View/Open |
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