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Face hallucination under an image decomposition perspective

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Open access
Authors
Liang, Yan
lai, Jian-huang
Xie, Xiaohua
Liu, Wan-quan
Date
2010
Type
Conference Paper

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Citation
Liang, Y. and lai, J.and Xie, X. and Liu, Wan-quan. 2010. Face hallucination under an image decomposition perspective, in A. Salah, T. Gevers, N. Sebe and A. Vinciarelli (ed), 20th International Conference on Pattern Recognition (ICPR 2010), Aug 23 2010, pp. 2158-2161. Istanbul, Turkey: IEEE.
Source Title
Lecture Notes in computer science 6219
Source Conference
20th International Conference on Pattern Recognition (ICPR 2010)
ISBN
Faculty
School of Science and Computing
Department of Computing
Faculty of Science and Engineering
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Abstract

In this paper we propose to convert the task of face hallucination into an image decomposition problem, and thenuse the morphological component analysis (MCA) for hallucinating a single face image, based on a novel three-stepframework. Firstly, a low-resolution input image is up-sampled by interpolation. Then, the MCA is employed to decompose the interpolated image into a high-resolution image and an unsharp masking, as MCA can properly decompose a signal into special parts according to typical dictionaries. Finally, a residue compensation, which is based on the neighbour reconstruction of patches, is performed to enhance the facial details. The proposed method can effectively exploit the facial properties for face hallucination under the image decomposition perspective. Experimental results demonstrate the effectiveness of our method, in terms of the visual quality of the hallucinated face images.