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Book ChapterDOI

A Robust Watermarking Scheme for Copyright Protection

TLDR
A robust image watermarking scheme based on all phase sine biorthogonal transform, singular value decomposition, SVD and dynamic stochastic resonance is presented and the simulation results demonstrate that the proposed scheme has better performance in the aspect of robustness and invisibility.
Citations
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Proceedings ArticleDOI

Method for Image Copyright Protection Based on Construction of Highly Robust Watermarks

TL;DR: It is shown that the proposed noise-like watermarks can be imperceptibly embedded into the spatial domain of the protected image using the strategy of additive watermarking.
Proceedings ArticleDOI

Method for Construction of Highly Robust Watermarks in the Task of Copyright Protection for Digital Images

TL;DR: It is shown that, due to the unique features of the noise-like watermarks, the robustness of LSB schemes can be significantly increased, which allows to provide the possibility of their application in the task of protection against illegal distribution.
References
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Book

The Fokker-Planck equation

Hannes Risken
Book

Stochastic Resonance

TL;DR: In this article, a theoretical approach based on linear response theory (LRT) is described, and two new forms of stochastic resonance, predicted on the basis of LRT and subsequently observed in analogue electronic experiments, are described.
Book

Information Hiding Techniques for Steganography and Digital Watermarking

TL;DR: This first comprehensive survey of steganography and watermarking and their application to modern communications and multimedia and an overview of "steganalysis," methods which can be used to break steganographic communication are discussed.
Journal ArticleDOI

An SVD-based watermarking scheme for protecting rightful ownership

TL;DR: A novel watermarking algorithm based on singular value decomposition (SVD) is proposed and results show that the newwatermarking method performs well in both security and robustness.
Journal ArticleDOI

Improved wavelet-based watermarking through pixel-wise masking

TL;DR: A new approach to mask the watermark according to the characteristics of the human visual system (HVS) is presented, which is accomplished pixel by pixel by taking into account the texture and the luminance content of all the image subbands.
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