The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Digital watermarking: algorithms and applications
Abstract
Digital watermarking of multimedia content has become a very active research area over the last several years. A general framework for watermark embedding and detection/decoding is presented here along with a review of some of the algorithms for different media types described in the literature. We highlight some of the differences based on application such as copyright protection, authentication, tamper detection, and data hiding as well as differences in technology and system requirements for different media types such as digital images, video, audio and text.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2001) · Wiley eBooks · doi:10.1002/0471200611 · Cited by 36,808
Elements of Information Theory
Cover, T. M., & Thomas, J. A. (2005) · doi:10.1002/047174882x · Cited by 13,791
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
Bender, W., Gruhl, D., Morimoto, N., & Lu, A. (1996) · IBM Systems Journal · doi:10.1147/sj.353.0313 · Cited by 2,774
Petitcolas, F. A. P., Anderson, R. J., & Kuhn, M. G. (1999) · Proceedings of the IEEE · doi:10.1109/5.771065 · Cited by 2,546
Multimedia watermarking techniques
Hartung, F., & Kutter, M. (1999) · Proceedings of the IEEE · doi:10.1109/5.771066 · Cited by 1,363
van Schyndel, R. G., Tirkel, A. Z., & Osborne, C. F. (2002) · Proceedings of 1st International Conference on Image Processing · doi:10.1109/icip.1994.413536 · Cited by 1,139
Multimedia data-embedding and watermarking technologies
Swanson, M. D., Kobayashi, M., & Tewfik, A. H. (1998) · Proceedings of the IEEE · doi:10.1109/5.687830 · Cited by 924
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
Self-citationSignal compression based on models of human perception
Jayant, N., Johnston, J., & Safranek, R. (1993) · Proceedings of the IEEE · doi:10.1109/5.241504 · Cited by 796
Cited by
Gunes, H., & Schuller, B. (2013) · Image and Vision Computing · doi:10.1016/j.imavis.2012.06.016 · Cited by 360
A survey of Deep Neural Network watermarking techniques
Li, Y., Wang, H., & Barni, M. (2021) · Neurocomputing · doi:10.1016/j.neucom.2021.07.051 · Cited by 177
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences
Guo, W., Tondi, B., & Barni, M. (2022) · IEEE Open Journal of Signal Processing · doi:10.1109/ojsp.2022.3190213 · Cited by 91
Metadata
- Authors
- Podilchuk, C. I., & Delp, E. J.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2001-07
- Volume
- 18
- Issue
- 4
- Pages
- 33-46
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2164413944
- Cited by
- 746
- References
- 48
- FWCI
- 23.72
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Digital watermarking: algorithms and applications. https://app.cochat.ai/papers/10.1109/79.939835
- The paper
- Podilchuk, C. I., & Delp, E. J. (2001). Digital watermarking: algorithms and applications. IEEE Signal Processing Magazine. https://doi.org/10.1109/79.939835
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.
