We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
IMAGE WATERMARKING BASED ON THE HESSENBERG TRANSFORM.
- Authors
SEDDIK, HASSEN; SAYADI, MOUNIR; FNAIECH, FARHAT; CHERIET, MOHAMED
- Abstract
Watermarking is now considered as an efficient means for assuring copyright protection and data owner identification. Watermark embedding techniques depend on the representation domain of the image (spatial, frequency, and multiresolution). Every domain has its specific advantages and limitations. Moreover, each technique in a chosen domain is found to be robust to specific sets of attack types. So we need to propose more robust domains to defeat these limitations and respect all the watermarking criterions (capacity, invisibility and robustness). In this paper, a new watermarking method is presented using a new domain for the image representation and the watermark embedding: the mathematical Hessenberg transformation. This domain is found to be robust against a wide range of STIRMARK attacks such as JPEG compression, convolution filtering and noise adding. The robustness of the new technique in preserving and extracting the embedded watermark is proved after various attacks types. It is also improved when compared with other methods in use. In addition, the proposed method is blind and the use of the host image is not needed in the watermark detection process.
- Subjects
WATERMARKS; VECTOR fields; ESTIMATION theory; MARKS of origin; FILTERING software; MATHEMATICS
- Publication
International Journal of Image & Graphics, 2009, Vol 9, Issue 3, p411
- ISSN
0219-4678
- Publication type
Article
- DOI
10.1142/S0219467809003514