Slant transform watermarking for digital images

Anthony Tung Shuen Ho; Xunzhan Zhu; Jun Shen

doi:10.1117/12.503435

23 June 2003 Slant transform watermarking for digital images

Anthony Tung Shuen Ho, Xunzhan Zhu, Jun Shen

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503435
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

In this paper, we propose a digital watermarking algorithm based on the Slant transform for the copyright protection of images. Our earlier research work associated with the fast Hadamard transform for robust watermark embedding and retrieval of images and characters suggests that this transform could also provide a good “hidden” space for digital watermarking. The Slant transform has many similar properties to the Walsh-Hadamard transform. In terms of transform coding, the Slant transform is considered to be a sub-optimum orthogonal transform for energy compaction. For digital watermarking, the energy spread becomes a significant advantage, as there is now a good spread of middle to higher frequencies with significant energies for robust information hiding. In this paper, an analytical comparative study on the performance of the Slant transform adapting our earlier watermarking schemes for fast Hadamrd transform will be performed based on its robustness against various Stirmark attacks. The performance results of the Slant transform for image watermarking against other transforms such as Cosine transform will also be presented.

Citation Download Citation

Anthony Tung Shuen Ho, Xunzhan Zhu, and Jun Shen "Slant transform watermarking for digital images", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503435

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available