Machine Learning for Image Processing

Watermarking

 

Title

Image watermarking based on invariant regions of scale-space representation

Authors

Jin S. Seo and Chang D. Yoo

Abstract

This paper proposes a novel content-based image watermarking method based on invariant regions of an image. The invariant regions are self-adaptive image patches that deform with geometric transformations. Three different invariant-region detection methods based on the scale-space representation of an image were considered for watermarking. At each invariant region, the watermark is embedded after geometric normalization according to the shape of the region. By binding watermarking with invariant regions, resilience against geometric transformations can be readily obtained. Experimental results show that the proposed method is robust against various image processing steps, including geometric transformations, cropping, filtering, and JPEG compression.

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Related Papers

1. Sunil Lee, Chang D. Yoo, and Ton Kalker, "Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform," IEEE Transactions on Information Forensics and Security, vol. 2, no. 3, pp. 321-330, September 2007. 

2. Dalwon Jang, Chang D. Yoo, "A Novel Embedding Method For an Anti-Collusion Fingerprinting by Embedding Both a Code and an Orthogonal Fingerprint," In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Toulouse, France, vol. 5, pp. 485-488, May 2006. 

3. Jin S. Seo and Chang D. Yoo, "Image watermarking based on invariant regions of scale-space representation," IEEE Transactions on Signal Processing, vol. 54, no. 4, pp. 1537-1549, April 2006. 

4. Jin S. Seo and Chang D. Yoo, "A robust registration method for a periodic watermark using Radon transform," IEICE transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E87-A, no. 8, pp. 2048-2050, August 2004. 

5. Jin S. Seo and Chang D. Yoo, "Localized image watermarking based on feature points of scale-space representation," Pattern Recognition, vol. 37, no. 7, pp. 1365-1375, July 2004. 

6. Jin S. Seo and Chang D. Yoo, "Correlation detection of asymmetric watermark," In Proceedings of IEEE Pacific-Rim Conference on Multimedia, Beijing, China, vol. 2195, pp. 638-645, October 2001. 

7. Seungjae Lee, Dalwon Jang and Chang D. Yoo, "An SVD-Based Watermarking Method for Image Content Authentication with Improved Security," In Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, Pennsylvania, USA, vol. 2, pp. 525-528, March 2005. 

8. Jin S. Seo and Chang D. Yoo, "Image watermarking based on scale-space representation," In Proceedings of IS&T/SPIE Electronic Imaging, San Jose, California, USA, vol. 5306, pp. 560-570, January 2004. 

9. Jin S. Seo and Chang D. Yoo, "On the design of template in the autocorrelation domain," In Proceedings of IS&T/SPIE Electronic Imaging, vol. 4675, pp. 305-312, San Jose, California, USA, January 2002.