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Improved additive spread spectrum embedding for data hiding | 33100
Journal of Information Technology & Software Engineering

Journal of Information Technology & Software Engineering
Open Access

ISSN: 2165- 7866

+44 1300 500008

Improved additive spread spectrum embedding for data hiding


2nd Global Summit and Expo Multimedia & Applications

August 15-16, 2016 London, UK

Xiaoqiang Zhang

China University of Mining and Technology, China

Posters & Accepted Abstracts: J Inform Tech Softw Eng

Abstract :

Watermarking and data hiding are the important tools to protect the ownership rights of digital multimedia contents. To reduce the interference effect of the host signal in the popular Spread Spectrum (SS) embedding scheme, we have proposed Correlation-and-bit-aware Additive Spread Spectrum (CASS) data hiding for Laplacian distributed host image signals and published in Signal Processing: Image Communication 29 (2014)1171��?1180. This paper proposes another Improved Additive Spread Spectrum (IASS) embedding scheme. We carry out some comparative experiments for the existing ASS, CASS, Correlation-and-bit-Aware Improved Additive Spread Spectrum (CAIASS) and proposed IASS embedding schemes by some Monte Carlo simulations. Compared with the existing embedding schemes, the proposed IASS maintains the simplicity of the decoder of ASS. For the noise-free scenario, the proposed IASS could yield error-free decoding performance. For the noise scenario, the experimental results show that IASS could significantly reduce the host effect in data hiding and improve the watermark decoding performance remarkably.

Biography :

Xiaoqiang Zhang has completed his joint-PhD from Beihang University (BUAA) and University of British Columbia (UBC). Currently, he is working as Teacher of China University of Mining and Technology (CUMT). His research interests are image encryption and image watermarking. He has published more than 30 papers in reputed journals or conferences.

Email: grayqiang@163.com

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