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Proceedings ArticleDOI

Hybrid watermarking algorithm based on SVD and lifting wavelet transform for ownership verification

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TLDR
Experimental results demonstrate that this method is robust against several attacks such as: noise addition, histogram equalization, gamma correction, JPEG compression, cropping, rotation and randomly line and column removal.
Abstract
In this paper, we propose a hybrid robust digital watermarking algorithm based on singular value decomposition (SVD) and lifting wavelet transform (LWT). In contrast to other watermarking algorithms based on wavelet transforms which exploit the human visual system (HVS), proposed method does not require to use HVS characteristics. After decomposing the cover image into a two-level lifting wavelet transform, we compute the inverse LWT of a selected subband (SB). The watermark embedding procedure is done by modifying singular values. Experimental results demonstrate that this method is robust against several attacks such as: noise addition, histogram equalization, gamma correction, JPEG compression, cropping, rotation and randomly line and column removal.

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Citations
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Journal ArticleDOI

A new robust and secure digital image watermarking scheme based on the integer wavelet transform and singular value decomposition

TL;DR: A challenge due to the false positive problem which may be faced by most of SVD-based watermarking schemes has been solved in this work by adopting a digital signature into the watermarked image.
Journal ArticleDOI

Hybrid watermarking algorithm based on Singular Value Decomposition and Radon transform

TL;DR: It is shown that, the watermark embedding procedure comes to get better normalized correlation (NC) factor by modifying singular values, and this method is robust against several attacks such as: noise addition, filtering, histogram equalization, gamma correction, JPEG compression, scaling and rotation.

Optimal Image Watermarking Algorithm Based on LWT-SVD via Multi-objective Ant Colony Optimization

TL;DR: A new optimal watermarking scheme based on lifting wavelet transform (LWT) and singular value decomposition (SVD) using multi-objective ant colony optimization (MOACO) is presented.
Journal ArticleDOI

A New Chaotic Image Watermarking Scheme Based on SVD and IWT

TL;DR: A new SVD-based image watermarking scheme that uses a chaotic map is proposed that improves security and overcomes FPP issues, achieves high robustness with different scaling factors, and outperforms several existing schemes.
Journal ArticleDOI

Security analyses of false positive problem for the SVD-based hybrid digital image watermarking techniques in the wavelet transform domain

TL;DR: To understand how the attacks can threaten the rightful ownership and how to avoid these attacks, the three potential attacks of false positive problem has been demonstrated using recent proposed watermarking schemes.
References
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Book ChapterDOI

Factoring wavelet transforms into lifting steps

TL;DR: In this paper, a self-contained derivation from basic principles such as the Euclidean algorithm, with a focus on applying it to wavelet filtering, is presented, which asymptotically reduces the computational complexity of the transform by a factor two.

The lifting scheme: A construction of second generation wavelets

Wim Sweldens
TL;DR: The lifting scheme is presented, a simple construction of second generation wavelets; these are wavelets that are not necessarily translates and dilates of one fixed function, and can be adapted to intervals, domains, surfaces, weights, and irregular samples.
Journal ArticleDOI

The lifting scheme: a construction of second generation wavelets

TL;DR: The lifting wavelet as discussed by the authors is a simple construction of second generation wavelets that can be adapted to intervals, domains, surfaces, weights, and irregular samples, and it leads to a faster, in-place calculation of the wavelet transform.
Book

The Theory of Matrices

Journal ArticleDOI

A wavelet-based watermarking algorithm for ownership verification of digital images

TL;DR: This paper claims that the private control of the watermark is also very important and presents a novel wavelet-based watermarking algorithm that is effective and can be used in a practical system for ownership verification.
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