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基于图像投影序列的盲数字水印鲁棒检测方法

A Robust Detection Method of Blind Digital Watermark Based on Image Projective Sequence

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【作者】 金聪彭嘉雄

【Author】 JIN Cong1,2,3+, PENG Jia-Xiong2 1(State Key Laboratory of Education Ministry for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan 430074, China) 2(Department of Computer Science, Central China Normal University, Wuhan 430079, China) 3(State Key Laboratory of Information Security, Graduate School, The Chinese Academy of Sciences, Beijing 100039, China)

【机构】 华中科技大学图像识别与人工智能研究所,华中师范大学计算机科学系 湖北武汉430074华中师范大学计算机科学系,湖北武汉430079中国科学院研究生院信息安全国家重点实验室,北京100039,湖北武汉430079

【摘要】 检测时无须原始图像的盲数字水印是实用的数字产品版权保护系统和隐蔽通信系统的关键技术之一.理论研究证明,图像的正交投影序列与图像是一一对应的.利用此结论,设计并实现了一种具有良好性能的盲水印检测盟〖觳馄鞯南喙刂挡皇遣捎孟袼刂敌畔?而是采用图像的正交投影序列来计算的.实验结果表明,该水印检测器不仅对旋转、平移攻击有很强的抵抗能力,而且对随机高斯噪声也具有良好的鲁棒性.其性能优于一般的直接利用像素值设计的水印检测器.

【Abstract】 Blind digital watermarking, which can detect watermark without using the original image, is a key technique for practical intellectual property protecting systems and concealment correspondence systems. In this paper, a blind detection method for the digital image watermark is discussed. The theoretical research shows that the orthogonal projection sequence of a digital image is one-to-one correspondence with this digital image. By this conclusion, a kind of blind watermarking detector with good performance is designed and realized. To calculate the correlation value between the image and watermark, the pixel information of digital image is not adopted, but the orthogonal projection sequence of this image is adopted. Experimental results show that this watermark detector has not only the good robustness to Gaussian noise, but also the very strong resistant ability to translation and rotation attacks. Performance of this watermark detector is better than that of the general detector designed by using the pixel value information directly. The conclusions are useful for the research in the future.

【基金】 国家自然科学基金;湖北省教育厅重点基金项目~~
  • 【文献出处】 软件学报 ,Journal of Software , 编辑部邮箱 ,2005年02期
  • 【分类号】TN911.73
  • 【被引频次】13
  • 【下载频次】332
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