Two Image WatermarkingMethodsBased on Compressive Sensing

Authors

Yidi Miao, Hangzhou Institute of Service Engineering, Hangzhou Normal University, Hangzhou 311121, China;
Lü Ju, Hangzhou Institute of Service Engineering, Hangzhou Normal University, Hangzhou 311121, China;
Xiumei Li, Hangzhou Institute of Service Engineering, Hangzhou Normal University, Hangzhou 311121, China;

Abstract

Abstract: As an emerging sample theory, compressive sensing attracts wide attention because it breaks through the Nyquist sampling theorem. , Two different methods of watermark embedding and extraction are presented by measuring the carrier image and watermark image respectively based on compressive sensing. Moreover, the attack tests, such as the Gaussian noise, pepper and salt noise, filtering, compression, and cropping, are implemented to watermarked images. Experiment results show that although the two different methods for image watermarking have different processing procedure, both can guarantee the robustness and security of embedded digital watermark.

Recommended Citation

Miao, Yidi; Ju, Lü; and Li, Xiumei (2020) "Two Image WatermarkingMethodsBased on Compressive Sensing," Journal of System Simulation: Vol. 29: Iss. 11, Article 8.
DOI: 10.16182/j.issn1004731x.joss.201711008
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss11/8

First Page

2649

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201711008

Last Page

2656

CLC

TP391.9

Recommended Citation

Miao Yidi, LüJu, Li Xiumei. Two Image WatermarkingMethodsBased on Compressive Sensing[J]. Journal of System Simulation, 2017, 29(11): 2649-2656.

Corresponding Author

Xiumei Li,

DOI

10.16182/j.issn1004731x.joss.201711008