Two-Dimensional Barcode Image Super-Resolution Reconstruction Via Sparse Representation

DOI

10.2991/isca-13.2013.55How to use a DOI?

Keywords

two-dimensional barcode image, sparse representation, super-resolution reconstruction, orientation gradient, edge direction texture

Abstract

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.

Copyright

© 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/).

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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  -