Image perceptual hashing based on human visual system

As an emerging technology, Image Perceptual Hashing(IPH), is becoming a new hotspot and have broad potential applications. Through extracting the digest of perceptual information of an image and matching based on the digest, IPH supports the identification and authentication of images. Currently, the IPH algorithms in the literature are mainly focused on the image feature extraction, but they do not introduce sufficient perceptual factors. In this paper, several new IPH algorithms based on HVS are proposed. Experiments test and compare the proposed algorithms. The results suggest our methods take more perception information into account and have better performance on robustness and discriminability.