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分形与小波相结合的鲁棒性数字水印算法 被引量:4

Fractal and Wavelet Combined Robust Digital Watermarking Algorithm
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摘要 为了提高图像水印算法的鲁棒性,提出了一种分形与小波相结合的鲁棒性数字水印算法。该算法按密钥把水印信息转化为自相似分形图;对宿主图像进行离散Haar小波变换,然后将分形后的二值水印图像嵌入到Haar小波低频子带。仿真实验证明,该算法对噪声J、PEG压缩、剪切、平滑滤波等图像失真处理,均具有很好的鲁棒性。 Fractal and wavelet combined robust digital watermarking algorithm was put forward to improve the robustness of image watermarking algorithm.This algorithm transformed the watermarking information into self-similar fractal image;and it discreted the host image through Haar wavelet transformation,and then embed the fractal binary watermarking image into Haar wavelet low-frequency band.The simulation experiments prove that this algorithm has good robustness to noise,JPEG compress,cutting,smoothing filtering and other image distortion processing.
作者 黄惠芬
出处 《包装工程》 CAS CSCD 北大核心 2010年第11期31-33,共3页 Packaging Engineering
关键词 数字水印 小波变换 自相似 digital watermarking wavelet transform self-similar
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参考文献8

  • 1王灿才.基于空间域LSB数字水印的鲁棒性研究[J].包装工程,2009,30(3):76-78. 被引量:6
  • 2兀旦晖,赵晨飞,李晗,郭琴.基于DCT图像水印系统的研究[J].包装工程,2009,30(11):73-75. 被引量:1
  • 3BARNSI.EY M F. Fractals Everywhere [M]. New York: Academic Press, 1993.
  • 4JACQUIN A E. Image Coding Base on a Fractal Theory of Iterated Contractive Transformations[J]. Proceeding of IEEE,1993,81(10) :1454-1465.
  • 5JENG J H,TRUONG T K,SHEU J R. Fast Fractal Image Compression Using the Hadamard Transform[J].IEE Proceedings Vision Image Signal Proceewing,2000, 147(6) : 571-573.
  • 6COX I J, MILLER M L, BLOOM J A. Watermarking Applications and Their Properties[C]. Proceedings of ITC(22000, IEEE Computer Society, 2000 : 6 - 10.
  • 7YANCEY W E,WINKLER W E,CREECY R H. Disclosure Risk Assessment in Perturbative Microdata Protection[J]. Lecture Notes in Computer Science, 2002,2316 : 135-152.
  • 8SEB_E F, DOMINGO-ERRER J, SOLANAS A. Noiserobust Watermarking for Numerical Datasets[J]. Lecture Notes in Computer Science,2005,3558: 134- 143.

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