Blind super-resolution reconstruction algorithm under affine motion model
Zhang, Xue-Song; Jiang, Jing; Peng, Si-Long
2012
发表期刊Pattem Recognition and Aitificial Intelligence,
卷号25(4)期号:2012年04期页码:pp 648-655 (EI)
摘要An approach to the blind super-resolution (BSR) problem is proposed which yields a higher optical resolution image from a low-resolution (LR) image sequence with affine inter-frame motion. Firstly, an eigenvector-based method for constructing the null space of blurs is presented. It is used as the regularization constraint of the optimization procedure. Then, the iterative algorithm is developed for the triple-coupled problem. The proposed algorithm adopts a two-layer optimization strategy: in the first layer, the triple-coupled BSR problem is reduced to a quadratic form with respect to the blurs, and an nonlinear least squares (NLS) problem of the motion and the high-resolution (HR) image; in the second layer, the NLS problem is solved using a Gauss-Newton based method. The experimental results on synthetic data illustrate that the proposed BSR algorithm for affine transform, has better performance in terms of modeling the space-variant degradation process as well as restoring the local textures compared with the BSR algorithm for pure translation. Finally, the applicability of the proposed algorithm is demonstrated using real license plate images.
关键词Affine Transform / blind Super-resolution (Bsr / motion Estimation / blur 
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/12962
专题智能制造技术与系统研究中心_多维数据分析
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GB/T 7714
Zhang, Xue-Song,Jiang, Jing,Peng, Si-Long. Blind super-resolution reconstruction algorithm under affine motion model[J]. Pattem Recognition and Aitificial Intelligence,,2012,25(4)(2012年04期):pp 648-655 (EI).
APA Zhang, Xue-Song,Jiang, Jing,&Peng, Si-Long.(2012).Blind super-resolution reconstruction algorithm under affine motion model.Pattem Recognition and Aitificial Intelligence,,25(4)(2012年04期),pp 648-655 (EI).
MLA Zhang, Xue-Song,et al."Blind super-resolution reconstruction algorithm under affine motion model".Pattem Recognition and Aitificial Intelligence, 25(4).2012年04期(2012):pp 648-655 (EI).
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