The DOI matches its Crossref record; 36 of the 70 references it cites were found in a registry or an index.
Secure spread spectrum watermarking for multimedia
Abstract
This paper presents a secure (tamper-resistant) algorithm for watermarking images, and a methodology for digital watermarking that may be generalized to audio, video, and multimedia data. We advocate that a watermark should be constructed as an independent and identically distributed (i.i.d.) Gaussian random vector that is imperceptibly inserted in a spread-spectrum-like fashion into the perceptually most significant spectral components of the data. We argue that insertion of a watermark under this regime makes the watermark robust to signal processing operations (such as lossy compression, filtering, digital-analog and analog-digital conversion, requantization, etc.), and common geometric transformations (such as cropping, scaling, translation, and rotation) provided that the original image is available and that it can be successfully registered against the transformed watermarked image. In these cases, the watermark detector unambiguously identifies the owner. Further, the use of Gaussian noise, ensures strong resilience to multiple-document, or collusional, attacks. Experimental results are provided to support these claims, along with an exposition of pending open problems.
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Cites
A method for obtaining digital signatures and public-key cryptosystems
Rivest, R. L., Shamir, A., & Adleman, L. (1983) · Communications of the ACM · doi:10.1145/357980.358017 · Cited by 13,012
Huber, P. J. (1981) · Wiley Series in Probability and Statistics · doi:10.1002/0471725250 · Cited by 7,066
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Collusion-secure fingerprinting for digital data
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Research works printed but not linked: 6
- kilian, 0, Resistance of watermarked documents to collusional attacks
- braudaway, 1996, Color correct digital watermarking of images
- adelson, 1990, Digital signal encoding and decoding apparatus
- schreiber, 1991, Receiver-compatible enhanced definition television system
- rhoads, 1995, Indentification/authentication coding method and apparatus
- turner, 1989, Digital data security system
Cited by
Sorted by citations
Bender, W. R., Gruhl, D., Morimoto, N., & Lu, A. (1996) · IBM Systems Journal · doi:10.1147/sj.353.0313 · Cited by 2,877
Ni, Z., Shi, Y.-Q., Ansari, N., et al. (2006) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2006.869964 · Cited by 2,745
Chen, B., & Wornell, G. W. (2001) · IEEE Transactions on Information Theory · doi:10.1109/18.923725 · Cited by 2,099
Digital Watermarking and Steganography
(2008) · Elsevier eBooks · doi:10.1016/b978-0-12-372585-1.x5001-3 · Cited by 1,726
Exploring steganography: Seeing the unseen
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Metadata
- Authors
- Cox, I. J., Kilian, J., Leighton, F. T., & Shamoon, T.
- Affiliations
- NEC (Japan) (JP)
- Massachusetts Institute of Technology (US)
- ORCID
- Cox, I.J.
- Venue
- IEEE Transactions on Image Processing
- Published
- 1997-12
- Volume
- 6
- Issue
- 12
- Pages
- 1673-1687
- ISSN
- 1057-7149 (ISSN-L)
- 1941-0042
- OpenAlex
- W2116467012
- Semantic Scholar
- a5eaa0b77d774745409499be2a2f16c506156161
- Cited by
- 5,299
- References
- 70
- Citations by year
- 2026: 65 · 2025: 60 · 2024: 48 · 2023: 69 · 2022: 74 · 2021: 85 · 2020: 84 · 2019: 112 · 2018: 132 · 2017: 160 · 2016: 168 · 2015: 201 · 2014: 211 · 2013: 240 · 2012: 289
- FWCI
- 98.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Image Processing (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Data Compression Techniques
- Keywords
- digital watermarking, spread spectrum watermarking, tamper resistance, Gaussian random vectors, image watermarking, watermark robustness, lossy compression, geometric transformations, image registration
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