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Proceedings Paper

Super-resolution reconstruction for sequential license plate images
Author(s): Yao Ye; Zhong Xing; Ge Yue
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Paper Abstract

According to the sequence of license plate image has low resolution, in order to improve the image resolution, this paper proposes a multiframe super-resolution image reconstruction algorithm based on overcome registration error and Gauss weight interpolation. First, multiframe image sub-pixel image registration, through extracting the SIFT keypoints of the image, rough matching with BBF algorithm, accurate matching with RANSAC algorithm, establishing the homography matrix between matching points. In order to overcome the registration error, this paper proposes a method based on threshold to overcome the registration error. Finally, the multiframe low resolution image is projected into the high resolution image grid by image registration. The value of the high resolution grid is reconstructed with a non-uniform interpolation algorithm based on Gauss weight. The experiments show that both on the subjective evaluation and objective evaluation can obtain satisfactory reconstruction results, and the registration error is robust.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104203B (21 July 2017); doi: 10.1117/12.2281578
Show Author Affiliations
Yao Ye, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Univ. of Chinese Academy of Sciences (China)
Zhong Xing, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Chang Guang Satellite Technology Co., Ltd. (China)
Ge Yue, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Univ. of Chinese Academy of Sciences (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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