Paper
22 January 1999 WaveMark: digital image watermaking using Daubechies' wavelets and error-correcting coding
James Ze Wang, Gio Wiederhold
Author Affiliations +
Proceedings Volume 3528, Multimedia Systems and Applications; (1999) https://doi.org/10.1117/12.337433
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States
Abstract
As more and more digital images are distributed on-line via the Internet and WWW, many copyright owners are concerned about protecting the copyright of digital images. This paper describes WaveMark, a novel wavelet-based multiresolution digital watermarking system for color images. The algorithm in WaveMark uses discrete wavelet transforms and error- correcting coding schemes to provide robust watermarking of digital images. Unlike other wavelet-based algorithms, our watermark recovery procedure does not require a match with an uncorrupted original image. Our algorithm uses Daubechies' advanced wavelets and extended Hamming codes to deal with problems associated with JPEG compression and random additive noise. In addition, the algorithm is able to sustain intentional disturbances introduced by professional robustness testing programs such as StirMark. The use of Daubechies' advanced wavelets makes the watermarked images more perceptively faithful than the images watermarked with the Haar wavelet transform. The watermark is adaptively applied to different areas of the image, based on the smoothness of the areas, to increase robustness within the limits of perception. The system is practical for real-world applications, encoding or decoding images at the speed of less than one second each on a Pentium Pro PC.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James Ze Wang and Gio Wiederhold "WaveMark: digital image watermaking using Daubechies' wavelets and error-correcting coding", Proc. SPIE 3528, Multimedia Systems and Applications, (22 January 1999); https://doi.org/10.1117/12.337433
Lens.org Logo
CITATIONS
Cited by 8 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital watermarking

Digital imaging

Wavelets

Image compression

Wavelet transforms

Computer programming

Discrete wavelet transforms

RELATED CONTENT


Back to Top