关键词: 感知哈希, 篡改检测, 底层线索, 哈希学习

Abstract: The rapid development of internet techniques has brought many issues to multimedia data authenticity and integrity authentication. Perceptual Hashing can complete the identification and authentication of image content through a brief perceptual representation, which provides a more convenient way to solve the management problems related to multimedia data authentication. This paper first summarizes the methods of low-level cues and learning based perceptual Hashing algorithms for image tamper detection, and gives a more detailed classification based on the different characteristics. Next, this paper introduces the common used datasets for image tamper detection and three evaluation metrics. Four existing methods with qualitative and quantitative comparisons on different datasets are analyzed in the experiments. Finally, the key problems of image tamper detection based on perceptual Hashing are summarized, and the future development trend is prospected.

Key words: perceptual Hashing, tamper detection, low-level cues, learning based Hashing