Title: Adaptive digital image watermarking based on predictive embedding and a Dynamic Fuzzy Inference System model

Authors: Nizar Sakr, Jiying Zhao, Voicu Z. Groza

Addresses: School of Information Technology and Engineering, University of Ottawa, 800 King Edward Ave., Ottawa, ON K1N 6N5, Canada. ' School of Information Technology and Engineering, University of Ottawa, 800 King Edward Ave., Ottawa, ON K1N 6N5, Canada. ' School of Information Technology and Engineering, University of Ottawa, 800 King Edward Ave., Ottawa, ON K1N 6N5, Canada

Abstract: This paper presents a novel robust watermarking technique intended for the application of copyright protection. A dynamic fuzzy inference system is modelled and used in conjunction with a model of the Human Visual System (HVS) to compute the adaptive strength and length of the watermark. The proposed fuzzy logic technique relies on the statistical distributions of the HVS-generated data to accurately approximate the relationship found between all properties of the visual model. In addition, we introduce a predictive watermark embedding algorithm that exploits the average power of the frequency-domain image coefficients to optimise the watermarking process.

Keywords: image watermarking; adaptive watermarking; dynamic fuzzy inference systems; DFIS; human visual systems; HVS; predictive watermark embedding; PWE; vision; fuzzy logic; security.

DOI: 10.1504/IJAMC.2007.013917

International Journal of Advanced Media and Communication, 2007 Vol.1 No.3, pp.237 - 264

Available online: 03 Jun 2007 *

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