Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9283
Title: An efficient local-structure-based face-hallucination method
Authors: Hui, Z
Lam, KM 
Keywords: Eigentransformation
Face hallucination
Local structure
Issue Date: 2012
Publisher: IEEE
Source: 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 25-30 March 2012, Kyoto, p. 1265-1268 How to cite?
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.
URI: http://hdl.handle.net/10397/9283
ISBN: 978-1-4673-0045-2
978-1-4673-0044-5 (E-ISBN)
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2012.6288119
Appears in Collections:Conference Paper

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