HVP-Based Efficient Watermarking Scheme in DCT Domain

This paper presents a transform-based watermarking scheme based on human visual system. Human visual parameter (HVP) such as sensitivity of contrast (SoC), texture degree, entropy, and standard deviation are useful to ensure the imperceptivility of watermark image. In this approach, we involved these HVP to select the optimal coefficients region in which watermark will be embedded. Several experiments are performed to demonstrate the effectiveness and appropriateness of the proposed scheme. According to experimental results, SoC parameter is superior in smooth image. Meanwhile, statistical characteristics provide good results in rough image. It also suggest that it is more robust and efficient than other state-of the-art algorithm from the literature in terms of the selected spatial-domain watermarking schemes.

[1]  Dongil Shin,et al.  Web-based interactive virtual laboratory system for unit operations and process systems engineering education , 2000 .

[2]  Yoon-Ho Kim,et al.  Optimal Sub-bands Decision for Robust Watermarking , 2006 .

[3]  Vincenzo Piuri,et al.  A Web-based distributed virtual educational laboratory , 2000, IEEE Trans. Instrum. Meas..

[4]  Jun Lin,et al.  A Wireless LAN-Based Robust and Scalable Virtual Laboratory for E-Learning , 2006, Edutainment.

[5]  Dongil Shin,et al.  A web-based, interactive virtual laboratory system for unit operations and process systems engineering education: issues, design and implementation , 2002 .

[6]  G. C. Langelaar,et al.  Watermarking digital image and video data , 2000 .

[7]  K. Tanaka,et al.  Embedding secret information into a dithered multi-level image , 1990, IEEE Conference on Military Communications.

[8]  Sergio Bermejo,et al.  Cooperative electronic learning in virtual laboratories through forums , 2005, IEEE Transactions on Education.

[9]  Xiaolong Fu,et al.  One Learning and Teaching Tool for Preliminary Virtual Instrument Course , 2007, International Conference on Computational Science.

[10]  Ingemar J. Cox,et al.  Secure spread spectrum watermarking for multimedia , 1997, IEEE Trans. Image Process..

[11]  Edward J. Delp,et al.  A watermark for digital images , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[12]  Der-Chyuan Lou,et al.  Adaptive digital watermarking using fuzzy logic techniques , 2002 .

[13]  F. Corinto,et al.  A fully simulated laboratory for instrumentation and electronic measurements , 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

[14]  Tony Wong,et al.  Resource management strategies for remote virtual laboratory experimentation , 2000, 30th Annual Frontiers in Education Conference. Building on A Century of Progress in Engineering Education. Conference Proceedings (IEEE Cat. No.00CH37135).

[15]  Iwan Setyawan,et al.  Watermarking digital image and video data. A state-of-the-art overview , 2000 .

[16]  Yoon-Ho Kim,et al.  An Adaptive Digital Watermarking Using DWT and FIS , 2004 .