Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/71145
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTan, Daphne Wan Ting
dc.date.accessioned2017-05-15T06:05:46Z
dc.date.available2017-05-15T06:05:46Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/71145
dc.description.abstractLow-resolution images can be enhanced to become higher-resolution images by carrying out weighted interpolation in image processing. Image quality can also be preserved during image amplification via up-sampling or image interpolation. High-resolution images have higher pixel-count and will appear to be sharper, clearer and visually desirable. Nonetheless, for every method of interpolation, limitations are bound to exist. This report explores the fundamental methods of interpolation, and focuses in experimenting with Nearest-Neighbour Interpolation (NNI), Average Interpolation (AI) and Sharpening Interpolation (SI) on images. Observational analysis and comparison will be made with reference to the output images.en_US
dc.format.extent68 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleCreating high quality photos from photos taken from low quality devicesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLim Yong Chingen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
item.fulltextWith Fulltext-
item.grantfulltextrestricted-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
U1320923A_fyp_report_final.pdf
  Restricted Access
Final Year Project Report5.85 MBAdobe PDFView/Open

Page view(s)

91
Updated on Jun 23, 2021

Download(s)

7
Updated on Jun 23, 2021

Google ScholarTM

Check

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