Two-Dimensional Barcode Image Super-Resolution Reconstruction Via Sparse Representation
- 10.2991/isca-13.2013.55How to use a DOI?
- two-dimensional barcode image, sparse representation, super-resolution reconstruction, orientation gradient, edge direction texture
To solve the problem of super-resolution reconstruction in the two-dimensional barcode image, this paper applies the technique of super-resolution reconstruction based on sparse representation into this area. Given the characteristics of the two-dimensional barcode image, this paper presents a new approach which selects the orientation gradient and the gradient texture feature as reconstruction features for recovery. Through analyzing the edge characteristics of this kind of image, it is found that the directional derivatives of it are distinct. Thus the Krisch operator is adopted to get the edge gradient of the image as one feature for reconstruction. Besides, the edge direction texture is regarded as another feature for reconstruction because of the distinct texture directivity of the objective image. Therefore, the geometric information as well as the textural information of the image is taken into consideration for reconstruction. The experimental result shows that the proposed algorithm in this paper can effectively reconstruct the input low-resolution barcode image into the corresponding high-resolution one. What’s more, compared with other similar super-resolution algorithms, this proposed algorithm improves the quality of the recovery image to a certain extent.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Gaosheng Yang AU - Liu Ningzhong AU - Yuan Gao PY - 2013/10 DA - 2013/10 TI - Two-Dimensional Barcode Image Super-Resolution Reconstruction Via Sparse Representation BT - Proceedings of 2013 International Conference on Information Science and Computer Applications PB - Atlantis Press SP - 327 EP - 333 SN - 1951-6851 UR - https://doi.org/10.2991/isca-13.2013.55 DO - 10.2991/isca-13.2013.55 ID - Yang2013/10 ER -