Research for Robust Watermarking Algorithm Using Least Significant Bit

Jun Jie Wang; Qian Mo; Dong Xia Mei; Su Li

doi:10.4028/www.scientific.net/AMR.268-270.1697

Paper Titles

Study on Microbiology of Fermented Ham from Tenderloins
p.1675

Studies on Implementations and Designs of DSP in the Six-Phase Induction Motor Vector Control System
p.1681

Study on the Multi-Axis Motion Control System Based on Ether CAT
p.1687

The Study on Power Consumption Models for Low-Power Wireless Communications
p.1691

Research for Robust Watermarking Algorithm Using Least Significant Bit
p.1697

Survey of Keyword Filtering for Anti-Active Jamming in Chinese
p.1701

A New Display Method of Medical Images
p.1707

Sensibility Analysis of Mechanical and Geometrical Parameters On Soil Slope Stability
p.1712

Study on the Position and Effect of Information in Improving Rural Life Quality
p.1717

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270Research for Robust Watermarking Algorithm Using...

Research for Robust Watermarking Algorithm Using Least Significant Bit

Abstract:

An image watermarking algorithm using Least Significant Bit is presented. Firstly, Logistic chaotic map is utilized to generate embedding bits for the watermark. Then, the discrete cosine transform is performed on the host image, and the hiding bit is embedded in the coefficient of discrete cosine transform by replacing Least Significant Bit, which causes minimal distortion of the host image.The original host image is not required when extracting the watermark . Experimental results show that the watermarked image almost has no difference from the original host image, and the quality of the extracted image is satisfying, the capacity of this algorithm is high. This algorithm is robust to many attacks, such as noise attack, JPEG Compression attack. Introduction

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

1697-1700

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.1697

Citation:

Cite this paper

Online since:

July 2011

Authors:

Jun Jie Wang, Qian Mo, Dong Xia Mei, Su Li

Keywords:

Blind Extracting, Image Watermarking, Least Significant Bit

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] G. Langelaar, I. Setyawan, R. Lagendijk: Watermarking digital image and video data. a state- of-art overview, IEEE Signal Process. Mag. 17 (September 2000) 20–46.

DOI: 10.1109/79.879337

Google Scholar

[2] P. Moulin, M. Mihcak: A framework for evaluating the data-hiding capacity of image sources, IEEE Trans. Image Process. 11 (9) (September 2002) 1029–1042.

DOI: 10.1109/tip.2002.802512

Google Scholar

[3] R. Liu, T. Tan: A SVD-based watermarking scheme for protecting rightful ownership, IEEE Trans. Multimedia 4 (1) (March 2002) 121–128.

DOI: 10.1109/6046.985560

Google Scholar

[4] I. Cox, M. Miller: Electronic watermarking: the first 50 years. Proc. 4th IEEE Workshop on Multimedia Signal Processing, Cannes, France, October 2001, pp.225-230.

DOI: 10.1109/mmsp.2001.962738

Google Scholar

[5] F. Hartung, M. Kutter: Multimedia Watermarking Techniques. Proceedings of the IEEE, Vol. 87, No. 7, July 1999, pp.1709-1107.

Google Scholar

[6] C. Yeh, C. Kuo: Digital Watermarking through Quasi m Arrays. Proc. IEEE Workshop on Signal Processing Systems, Taipei, Taiwan, October 1999, pp.456-461.

DOI: 10.1109/sips.1999.822351

Google Scholar

[7] T. Cedric, R. Adi, I. Mcloughlin: Data concealment in audio using a nonlinear frequency distribution of PRBS coded data and frequency-domain LSB insertion. Proc. IEEE Region 10 International Conference on Electrical and Electronic Technology, Kuala Lumpur, Malaysia, September 2000, pp.275-278.

DOI: 10.1109/tencon.2000.893586

Google Scholar

[8] Cheng-Yaw Low, Andrew Beng-Jin Teoh, Connie Tee: Fusion of LSB and DWT Biometric Watermarking for Offline Handwritten Signature, IEEE, 2008 Congress on Image and Signal Processing, pp.702-708.

DOI: 10.1109/cisp.2008.713

Google Scholar

[9] Guang-ming Yang, Yang Zhou: LSB Algorithm Research Based on Chaos. IEEE, 2009 Ninth International Conference on Hybrid Intelligent Systems, pp.427-430.

DOI: 10.1109/his.2009.201

Google Scholar