Paper
27 January 2010 Feature point based image watermarking with insertions, deletions, and substitution codes
Author Affiliations +
Proceedings Volume 7541, Media Forensics and Security II; 75410A (2010) https://doi.org/10.1117/12.838598
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
In this paper we concentrate on robust image watermarking (i.e. capable of resisting common signal processing operations and intentional attacks to destroy the watermark) based on image features. Kutter et al.7 motivated that well chosen image features survive admissible image distortions and hence can benefit the watermarking process. These image features are used as location references for the region in which the watermark is embedded. To realize the latter, we make use of previous work16 where a ring-shaped region, centered around an image feature is determined for watermark embedding. We propose to choose a specific sequence of image features according to strict criteria so that the image features have large distance to other chosen image features so that the ring shaped embedding regions do not overlap. Nevertheless, such a setup remains prone to insertion, deletion and substitution errors. Therefore we applied a two-step coding scheme similar to the one employed by Coumou and Sharma4 for speech watermarking. Our contribution here lies in extending Coumou and Sharma's one dimensional scheme to the two dimensional setup that is associated with our watermarking technique. The two-step coding scheme concatenates an outer Reed-Solomon error-correction code with an inner, blind, synchronization mechanism.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dieter Bardyn, Philippe Belet, Tim Dams, Ann Dooms, and Peter Schelkens "Feature point based image watermarking with insertions, deletions, and substitution codes", Proc. SPIE 7541, Media Forensics and Security II, 75410A (27 January 2010); https://doi.org/10.1117/12.838598
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KEYWORDS
Digital watermarking

Sensors

Signal processing

Remote sensing

Feature extraction

Image processing

Quantization

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