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Super-Resolution of License Plate Images using Algebraic Reconstruction Technique

K. Zarei Zefreh 1, W. van Aarle1, K. J. Batenburg2, and J. Sijbers1
1. iMinds -Vision Lab, Department of Physics, University of Antwerp, Belgium
2. CWI, Amsterdam, The Netherlands

Abstract—In this paper, an iterative super-resolution reconstruction method is introduced for license plate recognition. A high-resolution image of the license plate is reconstructed by fusing the information derived from a set of subpixel shifted low-resolution images. The reconstruction problem is formulated as a system of linear equations that is solved by using the simultaneous algebraic reconstruction technique (SIRT). Simulation experiments show that SIRT can reconstruct a HR image with superior quality compared to conventional super-resolution reconstruction methods.

Index Terms—super-resolution, reconstruction, SIRT, algebraic reconstruction technique, license plate

Cite: K. Zarei Zefreh, W. van Aarle, K. J. Batenburg, and J. Sijbers, "Super-Resolution of License Plate Images using Algebraic Reconstruction Technique," Journal of Image and Graphics, Vol. 1, No. 2, pp. 94-98, June 2013. doi: 10.12720/joig.1.2.94-98

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