Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19537
Title: Region-based eigentransformation for face image hallucination
Authors: Hu, Y
Shen, T
Lam, KM 
Keywords: Eigenvalues and eigenfunctions
Face recognition
Image resolution
Smoothing methods
Issue Date: 2009
Publisher: IEEE
Source: IEEE International Symposium on Circuits and Systems, 2009 : ISCAS 2009, 24-27 May 2009, Taipei, p. 1421-1424 How to cite?
Abstract: In this paper, we propose a region-based eigentransformation method for human face hallucination. The algorithm first uses the snake method to locate the targeted regions with high-frequency features in an edge-smoothed face mask, and then employs the eigentransformation to reconstruct the corresponding high-resolution counterpart. The resulting high-resolution face can be obtained by combining all of the reconstructed regions. As the boundaries of the respective high-frequency regions are also smooth, so the merging process at the boundaries will not produce visual artifacts. In addition, by segmenting the facial features into different regions, the eigentransformation can achieve a better performance level in reconstructing the high-frequency information. Experiments show that our proposed algorithm outperforms the original eigentransformation for face hallucination.
URI: http://hdl.handle.net/10397/19537
ISBN: 978-1-4244-3827-3
978-1-4244-3828-0 (E-ISBN)
DOI: 10.1109/ISCAS.2009.5118032
Appears in Collections:Conference Paper

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