基于图像纹理的自适应水印算法

doi:10.13700/j.bh.1001-5965.2019.0369

北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (12): 2403-2414.doi: 10.13700/j.bh.1001-5965.2019.0369

基于图像纹理的自适应水印算法

黄樱¹, 牛保宁¹, 关虎², 张树武²

1. 太原理工大学信息与计算机学院, 太原 030024;
2. 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

收稿日期:2019-07-09 出版日期:2019-12-20 发布日期:2019-12-31
通讯作者: 牛保宁 E-mail:niubaoning@tyut.edu.cn
作者简介:黄樱女,博士研究生。主要研究方向:图像水印;牛保宁男,博士,教授,博士生导师。主要研究方向:媒体大数据管理与分析、数据库系统性能管理、区块链数据管理;关虎男,博士,副研究员。主要研究方向:数字媒体内容版权保护与跟踪、数字媒体内容分析与处理、数字版权价值评估与版权交易;张树武男,博士,研究员,博士生导师。主要研究方向:数字版权管理、计算机视觉、跨媒体内容分析、语音和语言信息处理等。
基金资助:
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）

Image texture based adaptive watermarking algorithm

HUANG Ying¹, NIU Baoning¹, GUAN Hu², ZHANG Shuwu²

1. College of Information and Computer, Taiyuan University of Technology, Taiyuan 030024, China;
2. Digital Content Technology and Media Service Research Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Received:2019-07-09 Online:2019-12-20 Published:2019-12-31
Supported by:
National Key R & D Program of China (2017YFB1401000); International Cooperation Project of the Major R & D Program of Shanxi (201603D421015)

摘要/Abstract

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

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.

Key words: image watermarking, image texture, imperceptibility, robustness, adaptivity

中图分类号:

TP301.6

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.

HUANG Ying, NIU Baoning, GUAN Hu, ZHANG Shuwu. Image texture based adaptive watermarking algorithm[J]. JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2019, 45(12): 2403-2414.

参考文献

[1] FAZLALI H R,SAMAVI S,KARIMI N,et al.Adaptive blind image watermarking using edge pixel concentration[J].Multimedia Tools and Applications,2017,76(2):3105-3120.
[2] GUAN H,ZENG Z,LIU J,et al.A novel robust digital image watermarking algorithm based on two-level DCT[C]//Proceedings of the International Conference on Information Science,Electronics and Electrical Engineering.Piscataway,NJ:IEEE Press,2014:1804-1809.
[3] MOHREKESH M,AZIZI S,SHIRANI S,et al.Hierarchical watermarking framework based on analysis of local complexity variations[J].Multimedia Tools and Applications,2018,77(23):30865-30890.
[4] YADAV N,SINGH K.Robust image-adaptive watermarking using an adjustable dynamic strength factor[J].Signal,Image and Video Processing,2015,9(7):1531-1542.
[5] HUANG Y,GUAN H,NIU B,et al.A spread-spectrum watermarking scheme with adaptive embedding strength and PSNR guarantee[C]//Proceedings of the International Conference on Anti-Counterfeiting,Security,and Identification,2018:82-87.
[6] HUANG Y,NIU B,GUAN H,et al.Enhancing image watermarking with adaptive embedding parameter and PSNR guarantee[J].IEEE Transactions on Multimedia,2019,21(10):2447-2460.
[7] NASIR I,KHELIFI F,JIANG J,et al.Robust image watermarking via geometrically invariant feature points and image normalisation[J].Image Processing IET,2012,6(4):354-363.
[8] TANG C W,HANG H M.A feature-based robust digital image watermarking scheme[J].IEEE Transactions on Signal Processing,2003,51(4):950-959.
[9] YE X,CHEN X,MENG D,et al.A SIFT-based DWT-SVD blind watermark method against geometrical attacks[C]//Proceedings on the International Conference on Image & Signal Processing.Piscataway,NJ:IEEE Press,2015:14841650.
[10] SU Q,CHEN B.Robust color image watermarking technique in the spatial domain[J].Soft Computing,2018,22(1):91-106.
[11] ZONG T,XIANG Y,NATGUNANATHAN I,et al.Robust histogram shape-based method for image watermarking[J].IEEE Transactions on Circuits and Systems for Video Technology,2015,25(5):717-729.
[12] LOAN N A,HURRAH N N,PARAH S A,et al.Secure and robust digital image watermarking using coefficient differencing and chaotic encryption[J].IEEE Access,2018,6:19876-19897.
[13] PARAH S A,SHEIKH J A,LOAN N A,et al.Robust and blind watermarking technique in DCT domain using inter-block coefficient differencing[J].Digital Signal Processing,2016,53:11-24.
[14] HUYNH-THE T,BANOS O,LEE S,et al.Improving digital image watermarking by means of optimal channel selection[J].Expert Systems with Applications,2016,62(1):177-189.
[15] HUYNH-THE T,HUA C,TU N A,et al.Selective bit embedding scheme for robust blind color image watermarking[J].Information Sciences,2018,426:1-18.
[16] PENG Y,QI J.Show and tell in the loop:Cross-modal circular correlation learning[J].IEEE Transactions on Multimedia,2019,21(6):1538-1550.
[17] PENG Y,ZHU W,ZHAO Y,et al.Cross-media analysis and reasoning:Advances and directions[J].Frontiers of Information Technology & Electronic Engineering,2017,18(1):44-57.
[18] QI J,PENG Y.Cross-modal bidirectional translation via reinforcement learning[C]//Proceedings of the International Joint Conference on Artificial Intelligence,2018:2630-2636.
[19] YUAN M,PENG Y.Text-to-image synthesis via symmetrical distillation networks[C]//Proceedings of the 26th ACM Multimedia Conference.New York:ACM,2018:1407-1415.
[20] 彭宇新,綦金玮,黄鑫.多媒体内容理解的研究现状与展望[J].计算机研究与发展,2019,56(1):183-208.PENG Y X,QI J W,HUANG X.Current research status and prospects on multimedia content understanding[J].Journal of Computer Research and Development,2019,56(1):183-208(in Chinese).
[21] 刘丽,匡纲要.图像纹理特征提取方法综述[J].中国图象图形学报,2009,14(3):622-635.LIU L,KUANG G Y.Overview of image texture feature extraction methods[J].Journal of Image and Graphics,2009,14(3):622-635(in Chinese).
[22] GONZALEZ R C,WOODS R E.Digital image processing,third edition[J].Journal of Biomedical Optics,2009,14(2):029901.
[23] WANG Z,BOVIK A C,SHEIKH H R,et al.Image quality assessment:From error visibility to structural similarity[J].IEEE Transactions on Image Processing,2004,13(4):600-612.

基于图像纹理的自适应水印算法

Image texture based adaptive watermarking algorithm

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