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Super-resolution facial images from single input images based on discrete wavelet transform
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2014 (English)In: 22nd International Conference on Pattern Recognition, 2014, 843-848 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this work, we are presenting a technique that allows for accurate estimation of frequencies in higher dimensions than the original image content. This technique uses asymmetrical Principal Component Analysis together with Discrete Wavelet Transform (aPCA-DWT). For example, high quality content can be generated from low quality cameras since the necessary frequencies can be estimated through reliable methods. Within our research, we build models for interpreting facial images where super-resolution versions of human faces can be created. We have worked on several different experiments, extracting the frequency content in order to create models with aPCA-DWT. The results are presented along with experiments of deblurring and zooming beyond the original image resolution. For example, when an image is enlarged 16 times in decoding, the proposed technique outperforms interpolation with more than 7 dB on average.

Place, publisher, year, edition, pages
2014. 843-848 p.
Series
International Conference on Pattern Recognition, ISSN 1051-4651
Keyword [en]
Super Resolution, Image generation, Principal Component Analysis, Discrete Wavelet Transform
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:umu:diva-108476DOI: 10.1109/ICPR.2014.155ISI: 000359818000143ISBN: 978-1-4799-5208-3 (print)OAI: oai:DiVA.org:umu-108476DiVA: diva2:853523
Conference
22ND International Conference On Pattern Recognition (ICPR), Stockholm, SWEDEN, AUG 24-28, 2014
Available from: 2015-09-14 Created: 2015-09-11 Last updated: 2016-02-23Bibliographically approved

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Darvish, Ali MohammedLi, HaiboSöderström, Ulrik
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf