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数字博物馆中的图像版权保护研究
引用本文:沈晓峰,茅艳. 数字博物馆中的图像版权保护研究[J]. 计算机应用与软件, 2012, 29(5): 281-284
作者姓名:沈晓峰  茅艳
作者单位:苏州博物馆 江苏 苏州 215001
摘    要:随着数字博物馆的不断发展,关于数字博物馆中的图像版权保护越来越受到人们的重视。首先对数字水印技术和数字博物馆进行介绍,然后就数字水印技术用于解决数字博物馆中图像版权保护问题进行探讨,提出一种新的基于奇异值分解的盲数字图像水印算法。利用Arnold混沌映射将水印进行预处理,并按水印的大小把原始图像分成若干个子块,利用矩阵的奇异分解方法分解每个子块,通过比较调整相邻图像块最大奇异值来完成水印的嵌入。实验结果表明,该算法对于JPEG有损压缩、剪切、加噪声等攻击具有很强的鲁棒性。

关 键 词:数字博物馆  奇异值分解  数字水印  鲁棒性  盲水印

COPYRIGHT PROTECTION FOR IMAGES IN DIGITAL MUSEUMS
Shen Xiaofeng , Mao Yan. COPYRIGHT PROTECTION FOR IMAGES IN DIGITAL MUSEUMS[J]. Computer Applications and Software, 2012, 29(5): 281-284
Authors:Shen Xiaofeng    Mao Yan
Affiliation:Shen Xiaofeng Mao Yan(Suzhou Museum,Suzhou 215001,Jiangsu,China)
Abstract:With the rising of digital museums,people pay more attention to copyright protection of images in digital museums.At first digital watermarking and digital museums are introduced;then the copyright protection problem for images in digital museum with digital watermarking technology is discussed;then a novel SVD-based blind digital image watermarking algorithm is proposed.The algorithm pre-processes a watermark by Arnold chaos map,then according to the watermark’s size,divide the original image into a number of child-blocks,each of which is decomposed with matrix SVD method.The algorithm realizes watermark embedding by comparing adjacent image blocks’ largest SVD values.Experiment results show that the algorithm is strongly robust against JPEG lossy-compression,cropping,noising or other attacks.
Keywords:Digital museum Singular value decomposition(SVD) Digital watermarking Robustness Blind watermarking
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