Image hashing algorithm based on lifting wavelet transform and BP neural network
基于提升小波变换和BP神经网络的图像哈希算法*

As a useful digital multimedia information, authenticating the authenticity and the integrity of digital image is especially important. This paper presented an image hashing algorithm based on lifting wavelet transform and BP neural network. Firstly, used the image pixel matrix and the constructed function to train the BP neural network, and then the low-frequency components obtained by the lifting wavelet transform composed the matrix. At last, generated the image hash sequence by the well-trained BP neural network. The experimental results show that the proposed scheme not only can resist the content-preserving modifications, but also it is sensitive to the image of malicious tampering, so it is robust and fragile. Therefore, the method could be used to image authentication, copyright protection, image security and content-based image retrieval and so on.