收稿日期: 2012-03-07
修回日期: 2012-03-16
网络出版日期: 2012-03-16
基金资助
中国科学院百人计划(99T300CEA2);国家科技重大专项(2010ZX03006-001-02)和国家高技术研究发展计划(2009AA12Z143)资助
Image super-resolution approach for license-plate recognition
Received date: 2012-03-07
Revised date: 2012-03-16
Online published: 2012-03-16
姚振杰 , 易卫东 . 一种用于车牌识别的图像超分辨率算法[J]. 中国科学院大学学报, 2013 , 30(1) : 137 -143 . DOI: 10.7523/j.issn.1002-1175.2013.01.021
An object-oriented image super-resolution approach is proposed, which imitates visual cognition of human beings. The reconstruction procedure needs only a single image of the license plate. In the training stage, the corresponding relationship between high and low image patches is built by combined sparse coding. After an object is detected, the low resolution object image is reconstructed by compressing sensing under assumption of sparse representation. Experimental results on license plate images show that the PSNR is improved by nearly 2 dB compared to conventional non-object oriented strategy, and 20% of misrecognized characters are correctly recognized after reconstruction.
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