Zernike Moment-Based Spatial Image Steganography Resisting Scaling Attack and Statistic Detection
Zernike Moment-Based Spatial Image Steganography Resisting Scaling Attack and Statistic Detection
复制标题
基于Zernike矩的空间图像隐写术抵抗缩放攻击和统计检测
DOI：
10.1109/access.2019.2900286
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发表时间：
2019-02
期刊：
影响因子：
3.9
通讯作者：
Liu Fenlin
中科院分区：
文献类型：
--
作者：
Zhang Yue;Luo Xiangyang;Guo Yanqing;Qin Chuan;Liu Fenlin
主流的自适应隐写算法难以抵抗尺度攻击，基于量化索引调制的隐写算法抗检测性能不够高。针对上述问题，提出了一种基于Zernike矩的空域图像自适应隐写算法，以抵抗缩放攻击和统计检测。首先提取归一化后的封面图像的Zernike矩，并利用抖动调制算法得到新的封面；其次，通过空间泛小波相对失真(S-UNIWARD)和校正子网格编码实现最小失真嵌入。最后，根据修正后的新封面幅值，改变原始Zernike矩，生成隐写图像。实验结果表明，该算法对3种常见的Scaling攻击具有较强的鲁棒性，在Scaling攻击后，消息提取错误率明显低于S-UNIWARD隐写算法，且与基于量化索引调制的隐写算法相比，该算法具有更高的检测抗力。
The mainstream adaptive steganography algorithm is difficult to resist scaling attack, and the anti-detection performance of the algorithm based on quantization index modulation is not high enough. To solve the above problems, this paper proposes a spatial image adaptive steganography algorithm based on Zernike moment to resist scaling attack and statistic detection. First, the Zernike moment of the normalized cover image is extracted and the new cover is obtained by the dither modulation algorithm. Second, the minimized distortion embedding is realized by Spatial UNIversal WAvelet Relative Distortion (S-UNIWARD) and syndrome-trellis codes coded. And finally, the stego image is generated by changing the original Zernike moment according to the modified amplitude of the new cover. The experimental results show that the proposed algorithm is robust to the three common scaling attacks, and the message extraction error rate is significantly lower than the S-UNIWARD steganography after the scaling attacks; moreover, compared with the steganography algorithm based on quantization index modulation, the proposed algorithm has higher detection resistance.
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