Super-Resolution of License Plate Images using Algebraic Reconstruction Technique

Publication Type:

Journal Article

Authors:

Karim Zarei Zefreh; Wim Van Aarle; Kees Joost Batenburg; Jan Sijbers

Source:

Journal of Image and Graphics, Engineering and Technology Publishing (ETP), Volume 1, Issue 2, USA, p.94 - 98 (2013)

URL:

http://www.joig.org/index.php?m=content&c=index&a=show&catid=31&id=41

Keywords:

algebraic reconstruction technique, license plate, reconstruction, SIRT, super-resolution

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.

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Research area: 
Tomography