Perceptual image hashing algorithm based on difference quantization of histogram and chaos system
基于直方图量化和混沌系统的感知图像Hashing算法

Difference Quantization of Histogram (DQH) based on image grayscale compression was studied, as well as chaos system. A new perceptual image hashing algorithm was proposed. To begin with, the image was compressed in grayscales. After that, intermediate image hash was obtained form modulation between chaos sequence and the probability sequence of every grayscale of the compressed image. At last, final image hash was generated by binarization and DQH. The experimental results show that the proposed scheme is robust against JPEG compression, low-pass filtering, scaling and rotation attacks. Additionally, the chaos system obviously enhances the security.