An efficient local-structure-based face-hallucination method

Zhuo Hui, Kin Man Lam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

In this paper, we propose a novel patch-based face-hallucination algorithm, which is based on the local structure kernels established via the relation between interpolated low-resolution (LR) images and their corresponding high-resolution counterparts. In our algorithm, the local linear embedding (LLE) algorithm is used to extract local structures, and the kernels are then constructed based on non-overlapped patches in the interpolated LR images. The information about local structures as described by the kernels is propagated to the corresponding regions of the HR images. Sub-pixel distortions are refined by solving a constrained problem at pixel level via iterative procedures. Experimental results show that our proposed method can provide a good performance in terms of reconstruction errors and visual quality.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages1265-1268
Number of pages4
DOIs
Publication statusPublished - 23 Oct 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: 25 Mar 201230 Mar 2012

Conference

Conference2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period25/03/1230/03/12

Keywords

  • eigentransformation
  • face hallucination
  • local structure

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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