Watermarking with wavelets: Simplicity leads to robustness

E. Brannock, M. Weeks, R. Harrison
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引用次数: 46

Abstract

With ubiquitous computing comes the access of copyrighted work across computing platforms. One may have the same image (or video) on an iPod, as well as a laptop and desktop computer. Safeguarding creative content and intellectual property in a digital form has become increasingly difficult as technologies, such as the Internet, broadband availability and mobile access, advance. It has grown to be progressively easier to copy, modify and redistribute digital media, resulting in great declines in business profits. Digital watermarking is a steganographic technique that has been proposed as a possible solution to this problem. This paper examines a technique for digital watermarking which utilizes properties of the Discrete Wavelet Transform (DWT). The digital watermarking algorithm uses a database of multiple images with various properties. Eight families of wavelets, both orthogonal and biorthogonal, are compared for efficacy. To objectively measure the success of the algorithm and the influence of the mother wavelet, the PSNR for each wavelet family and image is obtained. Noise is introduced to simulate various attacks. Objective measures are used to determine the performance of the algorithm. We find that the simpler wavelet transforms, e.g. the Haar wavelet, outperform the more complex ones.
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用小波进行水印:简单导致鲁棒性
随着无处不在的计算,跨计算平台访问受版权保护的作品成为可能。一个人可以在iPod、笔记本电脑和台式电脑上拥有相同的图像(或视频)。随着互联网、宽带可用性和移动接入等技术的发展,保护数字形式的创意内容和知识产权变得越来越困难。复制、修改和重新分发数字媒体变得越来越容易,这导致了商业利润的大幅下降。数字水印是一种隐写技术,已被提出作为解决这一问题的可能方案。本文研究了一种利用离散小波变换(DWT)特性的数字水印技术。数字水印算法使用具有不同属性的多幅图像的数据库。对正交和双正交的八类小波进行了效果比较。为了客观地衡量算法的成功和母小波的影响,得到了每个小波族和图像的PSNR。引入噪声来模拟各种攻击。采用客观度量来确定算法的性能。我们发现,更简单的小波变换,如哈尔小波,优于更复杂的小波变换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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