30 October 2009 Face super-resolution reconstruction from real low-resolution video sequences
Author Affiliations +
Proceedings Volume 7496, MIPPR 2009: Pattern Recognition and Computer Vision; 74960L (2009); doi: 10.1117/12.830920
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Di Zhang, Jiazhong He, 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); doi: 10.1117/12.830920; https://doi.org/10.1117/12.830920


Reconstruction algorithms

Image registration

Image restoration


Image processing

Video surveillance


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