The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Wavelet Tree Quantization for Copyright Protection Watermarking
Abstract
This paper proposes a wavelet-tree-based blind watermarking scheme for copyright protection. The wavelet coefficients of the host image are grouped into so-called super trees. The watermark is embedded by quantizing super trees. The trees are so quantized that they exhibit a large enough statistical difference, which will later be used for watermark extraction. Each watermark bit is embedded in perceptually important frequency bands, which renders the mark more resistant to frequency based attacks. Also, the watermark is spread throughout large spatial regions. This yields more robustness against time domain geometric attacks. Examples of various attacks will be given to demonstrate the robustness of the proposed technique.
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Cites
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Said, A., & Pearlman, W. A. (1996) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/76.499834 · Cited by 5,353
Secure spread spectrum watermarking for multimedia
Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.650120 · Cited by 5,299
Vetterli, M., & Kovačević, J. (1995) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 2,898
Image-adaptive watermarking using visual models
Podilchuk, C. I., & Zeng, W. (1998) · IEEE Journal on Selected Areas in Communications · doi:10.1109/49.668975 · Cited by 849
Watermarking digital image and video data. A state-of-the-art overview
Langelaar, G. C., Setyawan, I., & Lagendijk, R. L. (2000) · IEEE Signal Processing Magazine · doi:10.1109/79.879337 · Cited by 849
Attacks on Copyright Marking Systems
Petitcolas, F. A. P., Anderson, R. J., & Kuhn, M. G. (1998) · Lecture Notes in Computer Science · doi:10.1007/3-540-49380-8_16 · Cited by 835
Perceptual watermarks for digital images and video
Wolfgang, R. B., Podilchuk, C. I., & Delp, E. J. (1999) · Proceedings of the IEEE · doi:10.1109/5.771067 · Cited by 636
Visibility of wavelet quantization noise
Watson, A. B., Yang, G. Y., Solomon, J. A., & Villasenor, J. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.605413 · Cited by 562
Digital watermarking using multiresolution wavelet decomposition
Kundur, D., & Hatzinakos, D. (2002) · Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) · doi:10.1109/icassp.1998.678149 · Cited by 472
Multipurpose watermarking for image authentication and protection
Lu, C.-S., & Liao, H.-Y. M. (2001) · IEEE Transactions on Image Processing · doi:10.1109/83.951542 · Cited by 366
Metadata
- Authors
- Wang, S.-H., & Lin, Y.-P.
- Venue
- IEEE Transactions on Image Processing
- Published
- 2004-02
- Volume
- 13
- Issue
- 2
- Pages
- 154-165
- ISSN
- 1057-7149 (ISSN-L)
- OpenAlex
- W1987406538
- Cited by
- 340
- References
- 20
- FWCI
- 13.93
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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