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Cited by 344

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A public key watermark for image verification and authentication

Ping Wah Wong·2002·Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)

Abstract

We propose a public key watermarking algorithm for image integrity verification. This watermark is capable of detecting any change made to an image, including changes in pixel values and image size. This watermark is important for several imaging applications, including trusted camera, legal usage of images, medical archiving of images, news reporting, commercial image transaction, and others. In each of these applications, it is important to verify that the image has not been manipulated and that the image was originated by either a specific camera or a specific user. The verification (the watermark extraction) procedure uses a public key as in public key cryptography, and hence it can be performed by any person without the secure exchange of a secret key. This is very important in many applications (e.g., trusted camera, news reporting) where the exchange of a secret key is either not possible or undesirable.

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Crossref · 10.1109/icip.1998.723526

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Metadata

Authors
Wong, P. W.
Venue
Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)
Published
2002-11-27
Volume
1
Pages
455-459
ISSN
1522-4880 (ISSN-L)
OpenAlex
W2142871496
Cited by
344
References
1
FWCI
17.70
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: A public key watermark for image verification and authentication. https://app.cochat.ai/papers/10.1109/icip.1998.723526
The paper
Wong, P. W. (2002). A public key watermark for image verification and authentication. Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269). https://doi.org/10.1109/icip.1998.723526

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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.