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Journal ArticleDOI

An SVD-based watermarking scheme for protecting rightful ownership

Ruizhen Liu, +1 more
- 01 Mar 2002 - 
- Vol. 4, Iss: 1, pp 121-128
TLDR
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.
Abstract
Digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in networked environments. There are two important issues that watermarking algorithms need to address. First, watermarking schemes are required to provide trustworthy evidence for protecting rightful ownership. Second, good watermarking schemes should satisfy the requirement of robustness and resist distortions due to common image manipulations (such as filtering, compression, etc.). In this paper, we propose a novel watermarking algorithm based on singular value decomposition (SVD). Analysis and experimental results show that the new watermarking method performs well in both security and robustness.

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Citations
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Proceedings ArticleDOI

A novel robust zero watermarking scheme based on DWT and SVD

TL;DR: A novel watermarking scheme for image authentication based on discrete wavelet transform (DWT) and singular value decomposition (SVD) and this scheme constructs the watermarks from the singular vectors which specify intrinsic geometry properties of images.
Proceedings ArticleDOI

An efficient SVD image steganographic approach

TL;DR: This approach aims at increasing the fidelity of the images after data embedding by using the image Left singular vectors to reduce the embedding errors as well as to maintain the image fidelity.
Journal ArticleDOI

Stereo image coding via digital watermarking

TL;DR: A robust stereo-image coding algorithm using digital watermarking in fractional Fourier transform (FrFT) and singular value decomposition (SVD) to achieve stereo image security is presented.
Journal ArticleDOI

Robust audio watermarking based on transform domain and SVD with compressive sampling framework

TL;DR: The results show that the proposed watermarking system is highly robust against a kind attack of LPF, resampling, and linear speed change which is proven by its BER is zero.
Proceedings ArticleDOI

Robust Image Watermarking Based on singular value decomposition in DT-CWT domain

TL;DR: A novel approach of watermarking for copyright protection applications using the singular value decomposition (SVD) in the Dual Tree Complex Wavelet Transform (DT-CWT) domain that is robust to a wide range of attacks.
References
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Journal ArticleDOI

Secure spread spectrum watermarking for multimedia

TL;DR: It is argued that insertion of a watermark under this regime makes the watermark robust to signal processing operations and common geometric transformations provided that the original image is available and that it can be successfully registered against the transformed watermarked image.
Journal ArticleDOI

Singular value decomposition and least squares solutions

TL;DR: The decomposition of A is called the singular value decomposition (SVD) and the diagonal elements of ∑ are the non-negative square roots of the eigenvalues of A T A; they are called singular values.
Journal ArticleDOI

Multimedia data-embedding and watermarking technologies

TL;DR: The reliability of data-embedding procedures and their ability to deliver new services such as viewing a movie in a given rated version from a single multicast stream are discussed.
Journal ArticleDOI

Rotation, scale and translation invariant spread spectrum digital image watermarking

TL;DR: In this paper, a Fourier-Mellin-based approach is used to construct watermarks which are designed to be unaffected by any combination of rotation and scale transformations, and a novel method of CDMA spread spectrum encoding is introduced which allows one to embed watermark messages of arbitrary length and which need only a secret key for decoding.
Journal ArticleDOI

A DCT-domain system for robust image watermarking

TL;DR: A new watermarking algorithm is presented: the method, which operates in the frequency domain, embeds a pseudo-random sequence of real numbers in a selected set of DCT coefficients, which is adapted to the image by exploiting the masking characteristics of the human visual system, thus ensuring the watermark invisibility.
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