Unified Performance Evaluation Method for Perceptual Image Hashing

In recent decades, a large number of perceptual image hashing schemes have been designed to secure the authenticity and integrity of digital images. However, the feasible criterion to evaluate the performances of hashing schemes has not been developed yet. To this end, a unified performance evaluation method for perceptual image hashing schemes is proposed in this paper. The proposed evaluation method contains six modules: robustness, discrimination, tampering detection, security, computational efficiency and hash length. The order relationship analysis (ORA) is employed to assign the score proportion of each module in accordance with the relative importance of performance, which allows the customizability of user. The real scores of modules and the outputted final score can reflect the performances of perceptual image hashing schemes intuitively and convincingly. Experimental results demonstrate that the proposed evaluation method is practical and effective for the complete and comprehensive evaluation of perceptual image hashing schemes.

Automated summary

In this paper, a unified performance evaluation method for perceptual image hashing schemes is proposed, which contains six modules and assigns scores to each module using order relationship analysis (ORA). Experimental results demonstrate that this method is practical and effective for evaluating the performance of perceptual image hashing schemes.