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Techniques for data hiding
Abstract
Data hiding is the process of embedding data into image and audio signals. The process is constrained by the quantity of data, the need for invariance of the data under conditions where the `host' signal is subject to distortions, e.g., compression, and the degree to which the data must be immune to interception, modification, or removal. We explore both traditional and novel techniques for addressing the data hiding process and evaluate these techniques in light of three applications: copyright protecting, tamper-proofing, and augmentation data embedding.
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Citations
Cited by
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
Hidden digital watermarks in images
Hsu, C.-T., & Wu, J.-L. (1999) · IEEE Transactions on Image Processing · doi:10.1109/83.736686 · Cited by 855
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
Metadata
- Authors
- Bender, W. R., Gruhl, D., & Morimoto, N.
- Venue
- SPIE Proceedings
- Publisher
- SPIE
- Published
- 1995-03-23
- Volume
- 2420
- Pages
- 164
- ISSN
- 0277-786X (ISSN-L)
- OpenAlex
- W2158587798
- Cited by
- 507
- References
- 0
- FWCI
- 30.26
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Techniques for data hiding. https://app.cochat.ai/papers/10.1117/12.205315
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- Bender, W. R., Gruhl, D., & Morimoto, N. (1995). Techniques for data hiding. SPIE Proceedings. https://doi.org/10.1117/12.205315
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.