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

Abstract

Access to multimedia data has become much easier due to the rapid growth of the Internet. While this is usually considered an improvement of everyday life, it also makes unauthorized copying and distributing of multimedia data much easier, therefore presenting a challenge in the field of copyright protection. Digital watermarking, which is inserting copyright information into the data, has been proposed to solve the problem. In this paper, we first discuss the features that a practical digital watermarking system for ownership verification requires. Besides perceptual invisibility and robustness, we claim that the private control of the watermark is also very important. Second, we present a novel wavelet-based watermarking algorithm. Experimental results and analysis are then given to demonstrate that the proposed algorithm is effective and can be used in a practical system.

A Semi-Blind Reference Watermarking Scheme Using DWT-SVD for Copyright Protection

“…The Fractional Fourier Transform (FrFt) cnbe used for digital watermarking [5,6,7,8]. Digital Image watermarking algorithms using Discrete Wavelet Transform (DWT) [10,11], Singular Value Decomposition (SVD) [12,13,14] are available in the literature. It is possible to have hybrid domains and transforms available in the literature.…”

An associative watermarking based image authentication scheme

“…Therefore, copyright protection for intellectual property on the Internet is an important issue [1], [2], [12]. Digital watermarking techniques have been proposed for the copyright protection of digital images [10]. In digital watermarking techniques, some types of watermarks such as logos, labels, trademark, or random sequence, representing the author's ownership, are embedded into the desired digital image.…”

Digital Watermarking of Video using DWT, PCA and Arnold Scrambling Technique applied on a Binary Watermark.

“…Wang et al [5] adopt a key dependent wavelet transform. To take advantage of the localisation and multi resolution property of the wavelet transform.…”