一种新型的图像哈希算法

A New Style Image Hash Algorithm

为了提高图像哈希方法的鲁棒性,提出一种基于BP神经网络的新型图像哈希算法,首先利用图像像素矩阵和构造的函数来训练BP神经网络,再将图像进行离散小波变换,利用低频分量来组成矩阵,最后利用已经训练好的BP神经网络来产生哈希序列。仿真结果表明,该算法对JPEG压缩、图像滤波等内容保持操作具有较好的稳健性,具有较好的应用价值。

To improve the robust of the image hash method,a new style image hash algorithm based on BP neural network was proposed.Firstly,the image pixel matrix and a constructed function was used to train the back propagation BP neural network,and then the low-frequency components obtained by the discrete wavelet transform was used to composes the matrix,the image hash sequence was generated by the well-trained back propagation BP neural network in the end.The experimental results indicate that the proposed hash method is robust against content-preserving modifications（such as JPEG compression,image filtering） and has good application value.