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Journal of Electronic Imaging

Discrete algebraic reconstruction technique: a new approach for superresolution reconstruction of license plates
Author(s): Karim Zarei Zefreh; Wim van Aarle; K. Joost Batenburg; Jan Sijbers
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Paper 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.

Paper Details

Date Published: 28 August 2013
PDF: 7 pages
J. Electron. Imaging. 22(4) 041111 doi: 10.1117/1.JEI.22.4.041111
Published in: Journal of Electronic Imaging Volume 22, Issue 4
Show Author Affiliations
Karim Zarei Zefreh, Univ. Antwerpen (Belgium)
Wim van Aarle, Univ. Antwerpen (Belgium)
K. Joost Batenburg, Univ. Antwerpen (Belgium)
Jan Sijbers, Univ. Antwerpen (Belgium)

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