Face super-resolution reconstruction from real low-resolution video sequences

Di Zhang; Jiazhong He; Hong Peng

doi:10.1117/12.830920

30 October 2009 Face super-resolution reconstruction from real low-resolution video sequences

Di Zhang, Jiazhong He, Hong Peng

Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74960L (2009) https://doi.org/10.1117/12.830920
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Di Zhang, Jiazhong He, and Hong Peng "Face super-resolution reconstruction from real low-resolution video sequences", Proc. SPIE 7496, MIPPR 2009: Pattern Recognition and Computer Vision, 74960L (30 October 2009); https://doi.org/10.1117/12.830920

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