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图学学报

图学学报 ›› 2022, Vol. 43 ›› Issue (2): 254-262.DOI: 10.11996/JG.j.2095-302X.2022020254

• 图像处理与计算机视觉 • 上一篇    下一篇

基于 DOCT 和 SURF 的立体图像零水印算法

  

  1. 1. 中国民航大学工程技术训练中心，天津 300300；
    2. 中国民航大学电子信息与自动化学院，天津 300300
  • 出版日期:2022-04-30 发布日期:2022-05-07
  • 基金资助:

    国家自然科学基金项目(62172418)；

    天津市教委科研计划项目(2018KJ246)；

    中央高校基本业务费项目中国民航大学专项(3122018S008)

Stereo image zero watermarking algorithm based on DOCT and SURF

  1. 1. Engineering Technology Training Center, Civil Aviation University of China, Tianjin 300300, China;
    2. College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China
  • Online:2022-04-30 Published:2022-05-07
  • Supported by:

    National Natural Science Foundation of China (62172418); 

    Tianjin Education Committee Research Project (2018KJ246);

    Fundamental Research Funds for the Central Universities Special Projects of Civil Aviation University of China (3122018S008)

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摘要： 针对目前大多数立体图像零水印方案抗几何攻击性能不佳的问题，提出一种基于离散八元数余
弦变换(DOCT)和加速鲁棒特征(SURF)的盲检测立体图像零水印算法。首先对原始立体图像的左右视点在
CIEXYZ 空间下的共 6 个分量分别进行平稳小波变换(SWT)；然后将以上获得的 6 个低频子带分别进行非重叠
分块，用于构造对应位置上的八元数图像块，并在空域中直接计算所有八元数图像块 DOCT 后的 DC 系数；最
后通过比较每一个八元数 DC 系数的模值和其整体均值间的大小关系构造鲁棒特征矩阵，并将其与经过量子密
钥置乱和 2D-LALM 系统加密后的原始水印进行异或，即可得到最终的认证零水印。此外，零水印检测前，采
用 SURF 方法对待认证立体图像进行几何校正。仿真结果表明，该算法对于常规攻击和几何攻击均表现出较强
的鲁棒性能。

关键词: 立体图像, 零水印, 离散八元数余弦变换, 加速鲁棒特征, 几何攻击

Abstract: Aiming at the poor geometric attack resistance of most current stereo image zero watermarking schemes, a
blind detection stereo image zero watermarking algorithm based on discrete octonion cosine transform (DOCT) and
speeded up robust features (SURF) was proposed. Firstly, the stationary wavelet transform (SWT) was performed on six
components of left and right views of the original stereo image under CIEXYZ color space. Secondly, the above six
low-frequency subbands were divided into non-overlapping blocks to construct the octonion image blocks at the
corresponding positions, and then the DC coefficients of all image blocks after DOCT were directly calculated in spatial
domain. Finally, the robust feature matrix was constructed by comparing the magnitude relationship between the
modulus of each octonion DC coefficient and their overall mean value. Then, the final zero watermark for authenticating
was generated by executing XOR operation on the feature matrix and encrypted watermark that had been processed by
quantum key scrambling and 2D-LALM system encrypting. In addition, the SURF method was employed to perform
geometric correction on the stereo image to be authenticated before the zero-watermark detection. Experimental results
show that the proposed algorithm displays better robustness against conventional attacks and geometric attacks.

Key words: stereo image, zero watermarking, discrete octonion cosine transform, speeded up robust features, geometric attack

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