A robust content based digital signature for image authentication
Abstract
A methodology for designing content based digital signatures which can be used to authenticate images is presented. A continuous measure of authenticity is presented which forms the basis of this methodology. Using this methodology signature systems can be designed which allow certain types of image modification (e.g. lossy compression) but which prevent other types of manipulation. Some experience with content based signatures is also presented. The idea of signature based authentication is extended to video, and a system to generate signatures for video sequences is presented. This signature also allows smaller segments of the secured video to be verified as unmanipulated.
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“The image hashing method designed by Schneider and Chang using histogram features is the earliest research in this field [18].”
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- Authors
- Schneider, M., & Chang, S.-F.
- Affiliations
- Columbia University (US)
- Venue
- Proceedings of 3rd IEEE International Conference on Image Processing
- Publisher
- IEEE
- Published
- 2002-12-24
- Volume
- 3
- Pages
- 227-230
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2115247187
- Cited by
- 421
- References
- 9
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 7 · 2023: 11 · 2022: 10 · 2021: 13 · 2020: 22 · 2019: 19 · 2018: 8 · 2017: 16 · 2016: 9 · 2015: 18 · 2014: 10 · 2013: 21 · 2012: 21
- FWCI
- 16.47
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Proceedings - International Conference on Image Processing (publishedVersion)
- 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 › Chaos-based Image/Signal Encryption
- Keywords
- image authentication, image forgery detection, lossy compression, video authentication
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