计算机科学 ›› 2011, Vol. 38 ›› Issue (11): 30-33.

• 计算机网络与信息安全 • 上一篇    下一篇

基于DWT-SVD的奇异向量量化水印算法

胡青,龙冬阳   

  1. (中山大学信息科学与技术学院 广州510275) (中山大学数学与计算科学学院 广州510275)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家自然科学基金((60803136),青年科学基金项目(61004037)资助。

Singular Vector Quantization Watermarking Scheme Based on DWT-SVD

HU Qing,LONG Dong-yang   

  • Online:2018-12-01 Published:2018-12-01

摘要: 提出了一种新颖的可用于版权保护的小波奇异值分解的量化水印算法。与传统的水印比特信息直接嵌入小波系数不同,水印信息被量化嵌入原始图像小波低频子带分块奇异值分解得到的奇异向量中。水印提取无需原始图像,可在密钥和量化阂值控制下实现盲提取。实验表明,含水印图像质量好且能较好地抵抗常规的图像处理,对JPEG压缩具有优异的鲁棒性。

关键词: 水印,小波分解,奇异值分解,奇异向量量化

Abstract: A novel watermarking scheme was proposed for image authentication by applying a simple ctuantization process on wavclet domain singular value decomposition. Unlike the traditional wavelet based watermarking schemes where the watermark bits were embedded directly on the wavelet coefficients, the singular vectors of the blocks within wavelet low frectuency sub-band of the original image were explored for embedding the watermark. Watermark detection is efficient and blind in only the key and threshold but not the original image. Experimental results show that the quality of the watermarked image is good and is ctuite effective against general image processing and extremely robust against JPEG compression.

Key words: Watcrmarking,Wavclet transformation,Singular value dccomposition(SVD),Singular vector quantization

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