Special Section on Video Surveillance and Transportation Imaging Applications

Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates

[+] Author Affiliations
Karim Zarei Zefreh

University of Antwerp (CDE), Department of Physics, iMinds–Vision Lab, Universiteitsplein 1, B-2610 Antwerpen, Belgium

Wim van Aarle

University of Antwerp (CDE), Department of Physics, iMinds–Vision Lab, Universiteitsplein 1, B-2610 Antwerpen, Belgium

K. Joost Batenburg

Centrum Wiskunde & Informatica, Science Park 123, NL-1098XG Amsterdam, The Netherlands

Jan Sijbers

University of Antwerp (CDE), Department of Physics, iMinds–Vision Lab, Universiteitsplein 1, B-2610 Antwerpen, Belgium

J. Electron. Imaging. 22(4), 041111 (Aug 28, 2013). doi:10.1117/1.JEI.22.4.041111
History: Received April 15, 2013; Revised June 26, 2013; Accepted July 17, 2013
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Abstract.  A new superresolution algorithm is proposed to reconstruct a high-resolution license plate image from a set of low-resolution camera images. The reconstruction methodology is based on the discrete algebraic reconstruction technique (DART), a recently developed reconstruction method. While DART has already been successfully applied in tomographic imaging, it has not yet been transferred to the field of camera imaging. DART is introduced for camera imaging through a demonstration of how prior knowledge of the colors of the license plate can be directly exploited during the reconstruction of a high-resolution image from a set of low-resolution images. Simulation experiments show that DART can reconstruct images with superior quality compared to conventional reconstruction methods.

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Citation

Karim Zarei Zefreh ; Wim van Aarle ; K. Joost Batenburg and Jan Sijbers
"Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates", J. Electron. Imaging. 22(4), 041111 (Aug 28, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.4.041111


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