基于人眼视觉系统模型的湿纸密写方法

Writing on Wet Paper Based on Human Visual System Characters

密写是信息安全领域的一个重要分支,近年来引起了各国研究机构的高度重视。提出的基于人眼视觉系统的湿纸密写方法根据图像局部纹理复杂程度、对噪声的敏感程度以及明亮度对图像的小波系数选择性地嵌入秘密信息,从而达到隐蔽通信的目的。秘密信息接收者无需知道具体的密写方法,只需做简单的矩阵乘法操作就可以提取秘密信息,实现了秘密信息传输过程中密写方法的不可见性。实验表明,该密写方法除具有很好的鲁棒性外,在隐蔽性上比传统频域内的密写方法有了很大提升,是一种非常实用的密写方法。

Steganography is an important embranchment of information security domain and is attached importance by a lot of institutes and organizations in many countries. This letter put forward a new steganographic method of writing on wet paper based on human visual system characters, which selects images ＇ wavelet coefficients according with the degree of texture complexity, brightness and sensitivity to noise in the local neighborhood to embed secrete bits in them and achieves the intention of invisible transmission. The receivers need not to know the formulas used by senders and can extract secret bits from carrier images by only doing sample matrixes multiplications. The experimental results of the proposed embedding method show a better performance against the methods of active attacks such as JPEG compression,noise addition and so on. And the security of the new method has improved greatly compared with the classic wavelet steganographic methods because of its template of writing on wet paper.