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Proceedings Paper

Face super-resolution reconstruction from real low-resolution video sequences
Author(s): Di Zhang; Jiazhong He; Hong Peng
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Paper Abstract

Extraction of high-resolution face image is crucial to detect suspect from low-resolution surveillance videos. Though previously published super-resolution image reconstruction techniques could produce a qualified high-resolution image from a set of simulated low-resolution images, but the reconstructed image from real low-resolution videos is always blurring. Two main reasons contribute for this: the process of image registration is ill-posed in nature and the sub-pixel information provided by the real video sequences is far less sufficient. In this paper, a joint image registration and face pattern-based high-resolution image reconstruction algorithm was proposed to tackle these two problems. Experimental results are also provided to demonstrate the effectiveness of the proposed algorithm.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960L (30 October 2009); doi: 10.1117/12.830920
Show Author Affiliations
Di Zhang, Shaoguan Univ. (China)
South China Univ. of Technology (China)
Jiazhong He, Shaoguan Univ. (China)
Hong Peng, South China Univ. of Technology (China)


Published in SPIE Proceedings Vol. 7496:
MIPPR 2009: Pattern Recognition and Computer Vision
Mingyue Ding; Bir Bhanu; Friedrich M. Wahl; Jonathan Roberts, Editor(s)

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