The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SIGNAL PROCESSING
Transactions ID Number: 31-245
Full Name: Hamid Tairi
Position: Assistant Professor
Age: ON
Sex: Male
Address: LIIAN department of maths and computers Faculty of Science Dhar El mahraz BP 1796 Atlas FES
Country: MOROCCO
Tel:
Tel prefix:
Fax:
E-mail address: htairi@yahoo.fr
Other E-mails: htairi@hotmail.com
Title of the Paper: A robust image watermarking based on the Empirical Mode Decomposition
Authors as they appear in the Paper: M. A. SABRI, M. KAROUD, H. TAIRI and A. AARAB
Email addresses of all the authors: htairi@yahoo.fr
Number of paper pages: 10
Abstract: With the increasing amount of digital data sharing tools due to the growth of the internet; thing that increased the availability of images to the internet users; frauds are multiplied which accentuated the need to find robust marking techniques for digital data protection. Researches prove that watermarking is a valid solution for such a need. Here, we propose a robust watermarking technique based on the BEMD (Bidimensional Empirical Mode Decomposition) where an additive watermarking scheme is applied to each IMF (Intrinsic Mode Function) obtained by the BEMD and the watermark is a binary matrix differently ponderated for each one of the four first IMFs. The use of the BEMD in watermarking is motivated by the fact that it has better quality than Fourier, Wavelet and other decomposition techniques in extracting intrinsic components because of its fully data driven property, and this decomposition is also proven as a very powerful tool for multi-scale analysis of no!
n stationary and non linear signals and also by the characteristics of the IMF. All this mean that, our method can be applied to any image. Experimentation has ensured the mark invisibility, the facility of detection of the mark and the robustness against different kinds of attacks.
Keywords: Watermarking, invisibility, robustness, BEMD, IMF, noise, JPEG, private watermarking scheme
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 196.200.146.240
