Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/144598
Title: | On the exploration of referenced-based super resolution for face images | Authors: | Ong, Ming Yang | Keywords: | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
Issue Date: | 2020 | Publisher: | Nanyang Technological University | 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. | URI: | https://hdl.handle.net/10356/144598 | Schools: | School of Computer Science and Engineering | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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CZ4079_Final_Year_Report (Ong Ming Yang).pdf Restricted Access | 36.14 MB | Adobe PDF | View/Open |
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