Robust wavelet-based color image watermarking using Pseudo Random Numbers

Suresh C Kuri, G. Kulkarni
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引用次数: 2

Abstract

Information exchange over internet is increasing drastically day-by-day. Almost all multimedia information is in digital form. To protect the multimedia data from illegal manipulation and provide authenticity, techniques for copy right protection and content authentication of digital media is required. Digital watermarking is one of the techniques for protection and identification that hides authentic watermarks in multimedia data such as image, audio and video. This paper present watermarking of color images in wavelet domain that uses Pseudo Random Number (PRN) sequence generated from Elmann neural network to watermark the image. The neural network generated PRN sequence is a highly random sequence that provides high security. Experimental result shows that the proposed method achieves robustness and imperceptibility.
基于伪随机数的鲁棒小波彩色图像水印
互联网上的信息交换日益急剧增加。几乎所有的多媒体信息都是数字形式的。为了保护多媒体数据不被非法篡改,提供真实性,需要数字媒体的版权保护和内容认证技术。数字水印是将图像、音频、视频等多媒体数据中的真实水印隐藏起来的一种保护和识别技术。提出了一种小波域彩色图像的水印方法,利用Elmann神经网络生成的伪随机数序列对彩色图像进行水印。神经网络生成的PRN序列是一种高度随机的序列,具有较高的安全性。实验结果表明,该方法具有较好的鲁棒性和不可感知性。
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