基于CL向量小波变换的图像信息隐藏方法

利用图像经过CL向量小波变换后,能量不但汇聚在最低分辨率的子图像上,而且还进一步汇聚在最低分辨率子图像的第一个分量上的特点,将调整后的机密图像嵌入到掩护的高频部分,再进行向量小波逆变换,得到包含机密图像的伪装图像.对伪装图像进行向量小波变换,提取出调整后的机密图像数据,施行逆调整,恢复出原始机密图像.图像恢复中所用到的所有数据来自伪装图像,不附加信息传输量.实验结果表明该方法生成的伪装图像具有较好的隐蔽性,有效地减小了传统方法生成的伪装图像与掩护图像的视觉差异;同时从伪装图像中恢复的机密图像保真度高,说明算法是可靠和实用的.

Image Hiding Based on CL Multi-wavelet Transformation

After CL multi-wavelet transformation, most of the energy of an image is not only concentrated on its lowest resolution sub-image, but also is further concentrated on its first component. According to this, the secret image that has been preprocessed will be hidden into high-resolution sub-image, then via the inverse CL multi-wavelet transformation, the disguise image is obtained in which the secret image was hidden. The secret image data that have been preprocessed through a CL multi-wavelet transformation of the disguise image can be extracted, and the secret image after a counter-adjustment can be obtained in which the data needed all come from the false image, and with no additional information transport. Experiments results show that the method is of high hiding capability and practicability.