BibTeX
@MISC{Logic_copyrightprotection,
author = {Fuzzy Logic},
title = {Copyright Protection of Image Learning Objects using Wavelet-based},
year = {}
}
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Abstract
Abstract – An adaptive watermarking algorithm is presented which exploits a biorthogonal wavelets-based human visual system (HVS) and a Fuzzy Inference System (FIS) to protect the copyright of images in learning object repositories. Specifically, the HVS relies on the linear-phase property of biorthogonal wavelet filters (symmetric wavelets) in order to efficiently extract the masking information, while taking into account the local characteristics of the image. The FIS is utilized to compute the optimum watermark weighting function that would enable the embedding of the maximum-energy and imperceptible watermark. The experimental results achieved demonstrate that the proposed algorithm is robust against both, signal processing and geometric attacks.
Keyphrases
image learning copyright protection adaptive watermarking algorithm geometric attack imperceptible watermark signal processing object repository optimum watermark linear-phase property biorthogonal wavelets-based human visual system hvs relies masking information local characteristic biorthogonal wavelet filter fuzzy inference system experimental result symmetric wavelet
