Perceptual hashing is a function of mapping from multimedia digital presentations to a perceptual hash value

which provides a secure and reliable technical support in fields such as identification

retrieval

and certification of multimedia content. The current algorithms fail in taking sufficient human visual perceptual factors into consideration. With the improvement of their over-robustness

most of the algorithms can’t assure their securities. In this paper

a novel perceptual hashing algorithm is proposed. In order to simulate multi-channel features of the human visual system

a cortex transformation is combined with a computational model of the human visual system

which is designed by jointly considering four visual perceptual factors during the feature extraction stage

such as spatio-temporal contrast sensitivity function

eye movement

lightness adaptation

and intra-band and inter-band masking. Additionally

a diffusion mechanism is introduced into the preprocessing stage. The results suggest our proposed method could achieve better trade-offs between robust and secure resilient to various content-preserving manipulations

and also reflects the uniformity between subjective perception and objective evaluation.