Paper
22 January 1999 Watermarking resistance to translation, rotation, and scaling
Author Affiliations +
Proceedings Volume 3528, Multimedia Systems and Applications; (1999) https://doi.org/10.1117/12.337432
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
In this paper we propose a new watermarking scheme for digital images that allows watermark recovery even if the image has been subjected to generalized geometrical transforms. The watermark is given by a binary number and every watermark bit is represented by a 2D function. The functions are weighted, using a mask that is proportional to the luminance, and then modulated onto the blue component of the image. To recover an embedded bit, the embedded watermark is estimated using a prediction filter. The sign of the correlation between the estimated watermark and the original function determine the embedded several times at horizontally and vertically shifted locations. In the watermark recovery process we first compute a prediction of the embedded watermark. Then the autocorrelation function is computed for this prediction. The multiple embedding of the watermark result in additional autocorrelation peaks. By comparing the configuration of the extracted peaks with their expected configuration we can determine the affine distortion applied to the image. The distortion can then be inverted and the watermark recovered in a standard way.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin Kutter "Watermarking resistance to translation, rotation, and scaling", Proc. SPIE 3528, Multimedia Systems and Applications, (22 January 1999); https://doi.org/10.1117/12.337432
Lens.org Logo
CITATIONS
Cited by 210 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital watermarking

Modulation

Sensors

Image processing

Distortion

Transform theory

Ions

Back to Top