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Proceedings Paper

Oblivious image watermarking combined with JPEG compression
Author(s): Qing Chen; Henri Maitre; Beatrice Pesquet-Popescu
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Paper Abstract

For most data hiding applications, the main source of concern is the effect of lossy compression on hidden information. The objective of watermarking is fundamentally in conflict with lossy compression. The latter attempts to remove all irrelevant and redundant information from a signal, while the former uses the irrelevant information to mask the presence of hidden data. Compression on a watermarked image can significantly affect the retrieval of the watermark. Past investigations of this problem have heavily relied on simulation. It is desirable not only to measure the effect of compression on embedded watermark, but also to control the embedding process to survive lossy compression. In this paper, we focus on oblivious watermarking by assuming that the watermarked image inevitably undergoes JPEG compression prior to watermark extraction. We propose an image-adaptive watermarking scheme where the watermarking algorithm and the JPEG compression standard are jointly considered. Watermark embedding takes into consideration the JPEG compression quality factor and exploits an HVS model to adaptively attain a proper trade-off among transparency, hiding data rate, and robustness to JPEG compression. The scheme estimates the image-dependent payload under JPEG compression to achieve the watermarking bit allocation in a determinate way, while maintaining consistent watermark retrieval performance.

Paper Details

Date Published: 20 June 2003
PDF: 9 pages
Proc. SPIE 5020, Security and Watermarking of Multimedia Contents V, (20 June 2003); doi: 10.1117/12.476846
Show Author Affiliations
Qing Chen, SUNY/Binghamton (United States)
Henri Maitre, Ecole Nationale Superieure des Telecommunications (France)
Beatrice Pesquet-Popescu, Ecole Nationale Superieure des Telecommunications (France)

Published in SPIE Proceedings Vol. 5020:
Security and Watermarking of Multimedia Contents V
Edward J. Delp III; Ping Wah Wong, Editor(s)

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