Cooperative face hallucination using multiple references

Chih Chung Hsu, Chia Wen Lin, Chiou Ting Hsu, Hong Yuan Mark Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper proposes a cooperative example-based face hallucination method using multiple references. The proposed method first uses clustering and residual prototype faces construction to improve the performance of hallucinating a single low-resolution (LR) face to obtain a high-resolution (HR) counterpart. In the case that multiple LR face images for a person are available, a unique feature of the proposed method is to cooperatively enhance the qualities of hallucinated HR images by taking into account the multiple input face images jointly as prior models. Experimental results demonstrate that the proposed cooperative method achieve significant subjective and objective improvement over single-prior schemes.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Pages818-821
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States
Duration: 2009 Jun 282009 Jul 3

Publication series

NameProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Other

Other2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Country/TerritoryUnited States
CityNew York, NY
Period09-06-2809-07-03

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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