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Proceedings Paper

Quality evaluation of the estimation of PSF for license plate image
Author(s): Kefeng Deng
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Paper Abstract

License plate recognition (LPR) has been widely deployed in many practical applications. In some situations, the license plate images we acquired are degraded due to the imperfect of image capturing process. Before they are input into the license plate recognition system for recognition, it is first needed to restore them. Many existing methods endeavor to estimate the parameters of the PSF. Yet, they can only give a rough estimation. In practice, in order to get a satisfactory restored image, it is usually needed to evaluate the quality of the estimation of the PSF and tune the parameters. This paper presents such a parameter tuning method for the restoration of license plate image. The parameters of the PSF estimated by our previous method are used as the initial values, and the quality of the restored image is evaluated using a novel image quality assessment measure. The parameters of the PSF are then tuned around the initial parameters according to evaluation result. Experiments show that this approach can achieve restored license plate images with high quality. The quality assessment method may also be extended to more general context.

Paper Details

Date Published: 24 June 2005
PDF: 8 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59604G (24 June 2005); doi: 10.1117/12.632720
Show Author Affiliations
Kefeng Deng, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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