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基于图像纹理的自适应水印算法
引用本文:黄樱,牛保宁,关虎,张树武.基于图像纹理的自适应水印算法[J].北京航空航天大学学报,2019,45(12):2403-2414.
作者姓名:黄樱  牛保宁  关虎  张树武
作者单位:太原理工大学信息与计算机学院,太原,030024;中国科学院自动化研究所数字内容技术与服务研究中心,北京,100190
基金项目:国家重点研发计划2017YFB1401000山西省重点研发计划(国际合作)项目201603D421015
摘    要:图像水印技术是一种在图像中嵌入被称为水印的版权标记,以证明图像版权归属的技术。利用图像纹理粗糙区域易于隐藏水印的优势,提出了一种基于图像纹理的自适应水印算法。首先,设计了一种能够真实反映图像纹理丰富程度的纹理度量方法,引入全局纹理值和局部纹理值的概念来综合分析图像纹理的分布情况;其次,利用滑动窗口和窗口内区域的局部纹理值,精确地获取图像的纹理粗糙区域,将水印嵌入在纹理粗糙区域中,保证嵌入水印图像的视觉质量;然后,通过多元回归分析,得到水印嵌入参数与纹理粗糙区域的全局纹理值和局部纹理值的函数关系,根据区域的纹理值自适应地调整水印的嵌入参数,最大限度地保证水印的不可见性,增强水印的鲁棒性;最后,通过在多个不重叠的纹理粗糙区域中嵌入相同的水印,进一步提高水印提取的准确率。在100幅自然场景图像上进行模拟实验,从不可见性、自适应性和鲁棒性三个方面证实了所提算法相比已有自适应水印算法的优越性。 

关 键 词:图像水印  图像纹理  不可见性  鲁棒性  自适应性
收稿时间:2019-07-09

Image texture based adaptive watermarking algorithm
Institution:1.College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China2.Digital Content Technology and Media Service Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Abstract:Watermarking is a technique of embedding a mark called a watermark in an image to prove the copyright of this image. This paper proposes an image texture based adaptive watermarking algorithm by taking advantage of the textured regions of an image being easy to hide the watermark. Firstly, a texture measurement method is proposed to reflect the richness of image's texture, and the concepts of global texture value and local texture value are introduced to comprehensively analyze the image texture distribution. The textured regions of an image are located by using the sliding window and judged by the local texture value of the inner window area, and then we only embed the watermark in the textured regions and ensure the visual quality of embedded watermark. The function relationship among the global texture value, the local texture value of the textured regions and the embedding parameter is obtained by multiple regression analysis. It can adaptively adjust the embedding parameters with the texture values of the regions to maximally enhance the imperceptibility and robustness of the watermark. Moreover, embedding the same watermark in multiple non-overlapping textured regions further improves the accuracy of the extracted watermark. The simulation experiments on 100 images show the superiority of the proposed method compared with the state-of-the-art methods in terms of imperceptibility, adaptivity and robustness. 
Keywords:
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