• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Adaptive reversible image watermarking algorithm based on DE

Vol. 11, No. 3, March 30, 2017
10.3837/tiis.2017.03.028, Download Paper (Free):

Abstract

In order to improve the embedding rate of reversible watermarking algorithm for digital image and enhance the imperceptibility of the watermarked image, an adaptive reversible image watermarking algorithm based on DE is proposed. By analyzing the traditional DE algorithm and the generalized DE algorithm, an improved difference expansion algorithm is proposed. Through the analysis of image texture features, the improved algorithm is used for embedding and extracting the watermark. At the same time, in order to improve the embedding capacity and visual quality, the improved algorithm is optimized in this paper. Simulation results show that the proposed algorithm can not only achieve the blind extraction, but also significantly heighten the embedded capacity and non-perception. Moreover, compared with similar algorithms, it is easy to implement, and the quality of the watermarked images is high.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Z. Zhang, L. Wu, Y. Yan, S. Xiao, ShangbingGao, "Adaptive reversible image watermarking algorithm based on DE," KSII Transactions on Internet and Information Systems, vol. 11, no. 3, pp. 1761-1784, 2017. DOI: 10.3837/tiis.2017.03.028.

[ACM Style]
Zhengwei Zhang, Lifa Wu, Yunyang Yan, Shaozhang Xiao, and ShangbingGao. 2017. Adaptive reversible image watermarking algorithm based on DE. KSII Transactions on Internet and Information Systems, 11, 3, (2017), 1761-1784. DOI: 10.3837/tiis.2017.03.028.

[BibTeX Style]
@article{tiis:21411, title="Adaptive reversible image watermarking algorithm based on DE", author="Zhengwei Zhang and Lifa Wu and Yunyang Yan and Shaozhang Xiao and ShangbingGao and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2017.03.028}, volume={11}, number={3}, year="2017", month={March}, pages={1761-1784}}