Digital image watermarking in sparse domain

ABSTRACT

A watermarking method based on a robust sparse domain is proposed in this paper, which integrates the secret information into the significant sparse elements of the original image. Our algorithm protects the original data by a two-way security process to embed confidential information. First of all, converting the watermark logo into a discrete transform coefficient (DCT) is the protection process. Then, using the dictionary learning method, the transformed coefficient is embedded in the selected effective sparse coefficient in the original image. The embedded logo is extracted from the selected effective sparse coefficient using the sparse orthogonal matching tracking algorithm (OMP) domain. Then, the discrete inverse transformation is performed. To check the algorithm’s efficiency, numerous specific attacks are checked. The experimental results show that the algorithm can recover the embedded watermark with precision without losing any information.

KEYWORDS:

• Orthogonal Matching Pursuit (OMP)
• Discrete–Cosine–Transformation (DCT)
• sparse domain
• dictionary learning

Additional information

Funding

This work was supported in part by the Key Research Program of Frontier Sciences, CAS, and Grant number ZDBS-LY-DQC016, Beijing Natural Science Foundation under Grant No. 4212030, Beijing Nova Program of Science and Technology under Grant No. Z191100001119090, Natural Science Foundation of China under Grant No. 61836013 and, Youth Innovation Promotion Association CAS;National Natural Science Foundation of China [61836013];Key Research Program of Frontier Sciences, CAS [ZDBS-LY-DQC016];