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An efficient local-structure-based face-hallucination method.
- Source :
- 2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 1/ 1/2012, p1265-1268, 4p
- Publication Year :
- 2012
-
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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISBNs :
- 9781467300452
- Database :
- Complementary Index
- Journal :
- 2012 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP)
- Publication Type :
- Conference
- Accession number :
- 86551789
- Full Text :
- https://doi.org/10.1109/ICASSP.2012.6288119