Two-Dimensional Barcode Image Super-Resolution Reconstruction Via Sparse Representation
Gaosheng Yang, Liu Ningzhong, Yuan Gao · 2013
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.