21 July 2017 Super-resolution reconstruction for sequential license plate images
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104203B (2017) https://doi.org/10.1117/12.2281578
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
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.
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Yao Ye, Zhong Xing, Ge Yue, "Super-resolution reconstruction for sequential license plate images", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104203B (21 July 2017); doi: 10.1117/12.2281578; https://doi.org/10.1117/12.2281578
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