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
Copyright © 2012-2020 Journal of Image and Graphics, All Rights Reserved