Publication
Title
Super-resolution of license plate images using algebraic reconstruction technique
Author
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.
Language
English
Source (journal)
Journal of image and graphics
Publication
2013
DOI
10.12720/JOIG.1.2.94-98
Volume/pages
1 :2 (2013) , p. 94-98
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Image reconstruction for in situ Computed Tomography
Quantitative tomographic segmentation of magnetic resonance images
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 27.01.2014
Last edited 04.03.2024
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