An Effective Regularization Method for Image Super Resolution

Abstract:

Article Preview

In this paper, we propose a new super resolution (SR) reconstruction method to handle license plate numbers of vehicles in real traffic videos. Recently, SR reconstruction shemes based on regularization have been demonstrated to be effective because SR reconstrction is an ill-posed problem. Working within this promising framework, the residual data (RD) term can be weighted according to the differences among the observed LR images in the SR reconstruction model. Moreover, L1 norm is used to measure the RD term in order to improve the robustness of our method. Experiments show the proposed method improves the subjective visual quality of the high resolution images.

Info:

Periodical:

Advanced Materials Research (Volumes 219-220)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

1411-1414

DOI:

10.4028/www.scientific.net/AMR.219-220.1411

Citation:

E. W. Zheng and X. J. Wang, "An Effective Regularization Method for Image Super Resolution", Advanced Materials Research, Vols. 219-220, pp. 1411-1414, 2011

Online since:

March 2011

Export:

Price:

$35.00

[1] T. S. Huang, R. Y. Tsai. Multi-frame image restoration and registration. Adv. Comput. Vis. Image Process, Vol. 1(1984), pp.317-339.

[2] M. Elad and Or. Y. Hel. A fast super-resolution reconstruction algorithm for pure translational motion and common space invariant blur. IEEE Tran. Image Processing, Vol. 10 (2001), pp.1187-1193.

DOI: 10.1109/83.935034

[3] B. Choi, S. D. Kim, J. B. Ra, Region-based super-resolution using adaptive diffusion regularization, Optical Engineering, Vol. 47(2008), pp.0270061-11.

[4] F. J. Cortijo, S. Villena, R. Molina and A. Katsaggelos. Bayesian super-resolutiojn of text image sequences from low-resolution observations. In Proc. IEEE Int. Symp. Signal Process. Appl., 2003, pp.421-424.

DOI: 10.1109/isspa.2003.1224730

[5] S. Farsiu, D. Robinson, M. Elad, et al., Advances and challenges in super-resolution, Int. Journ. Imaging Sys. Technol., Vol. 14, No. 2, 2004, pp.47-57.

DOI: 10.1002/ima.20007

[6] S. C. Park, M. K. Park et al. Super-resolution image reconstruction: a technical review. IEEE Signal Processing Magazine, Vol. 5(2003), pp.21-36.

[7] H. Kim, K. S. Hong. Variational approaches to super-resolution with contrast enhancement and anisotropic diffusion, " Journal of Electronic imaging. Vol. 12(2003), pp.244-251.

DOI: 10.1117/1.1556312

[8] B. Choi, S. D. Kim, J. B. Ra. Region-based super-resolution using adaptive diffusion regularization, " Optical Engineering. Vol. 47 (2008), pp.1-11.

[9] A. Marquina, S. J. Osher. Image super-resolution by TV-regularization and bregman iteration. J. Sci. Comput. , Vol. 37(2008), pp.367-382.

DOI: 10.1007/s10915-008-9214-8

[10] K. V. Suresh, G. M. Kumar and H. N. Rajagopalan. Superresolution of License Plates in Real Traffic Videos. IEEE Trans. Intell. Transp. Syst., Vol. 8 (2007), pp.321-331.

DOI: 10.1109/tits.2007.895291

In order to see related information, you need to Login.