Predigest Watson´s Visual Model as Perceptual Hashing Method

HVS (human visual system) has been widely used to evaluate image quality over the past three decades, which provided a good simulation on the image cognitive processing of human vision system. As a newly developing technology, perceptual hashing need to take the perception information into account during the feature extraction stage, and then code them into a short digest. In this paper, we present a new image perceptual hashing method by predigesting the well-known Watson´s visual model. By comparing with the Watson´s visual model and other perceptual hashing method, our new method takes sufficient perception information into account and has better performance of robustness and discriminability.