Watermarking on CNN‐UM for image and video authentication
Watermarking on CNN‐UM for image and video authentication
复制标题
CNN-UM 上的水印用于图像和视频认证
DOI：
10.1002/cta.297
复制
发表时间：
2004
影响因子：
2.3
通讯作者：
L. Fortuna
中科院分区：
文献类型：
--
作者：
M. Yalçin;J. Vandewalle;P. Arena;A. Basile;L. Fortuna
本文介绍了一种新的脆弱水印技术。这个问题在现代多媒体应用领域中特别有趣，当需要图像和视频认证时。该方法利用元胞自动机作为伪随机模式发生器的适用性，并在元胞非线性网络（CNN）的框架下扩展了相关算法。其结果是一种新的方式来执行水印生成在真实的时间，使用目前可用的CNN通用芯片原型。本文报告了用于脆弱水印的CNN算法以及片上实验结果，证实了CNN成功用作真实的实时水印生成器的适用性。基于CNN的视觉微处理器的可用性允许具有强大的算法来在真实的时间图像或视频中添加水印，以实现高效的智能相机应用。版权所有© 2004年约翰威利父子有限公司。
In this paper a new approach to fragile watermarking technique is introduced. This problem is particularly interesting in the field of modern multimedia applications, when image and video authentication are required. The approach exploits the cellular automata suitability to work as pseudorandom pattern generators and extends the related algorithms under the framework of the cellular non‐linear networks (CNNs). The result is a novel way to perform watermarking generation in real time, using the presently available CNN‐universal chip prototypes. In this paper, both the CNN algorithms for fragile watermarking as well as on‐chip experimental results are reported, confirming the suitability of CNNs to successfully act as real‐time watermarking generators. The availability of CNN‐based visual microprocessors allows to have powerful algorithms to watermark in real time images or videos for efficient smart camera applications. Copyright © 2004 John Wiley & Sons, Ltd.