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 SizeFormat 
CZ4079_Final_Year_Report (Ong Ming Yang).pdf
  Restricted Access
36.14 MBAdobe PDFView/Open

Page view(s)

311
Updated on Mar 16, 2025

Download(s) 50

22
Updated on Mar 16, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.