New Iterative Geometric Methods for Robust Perceptual Image Hashing
DRM '01 Revised Papers from the ACM CCS-8 Workshop on Security and Privacy in Digital Rights Management
Robust and secure image hashing
IEEE Transactions on Information Forensics and Security
Perceptual Image Hashing Via Feature Points: Performance Evaluation and Tradeoffs
IEEE Transactions on Image Processing
Image forensic signature for content authenticity analysis
Journal of Visual Communication and Image Representation
Perceptual image hashing via wave atom transform
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
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Image hash function based on the image content has applications in watermarking, authentication and image retrieval. This paper presents an algorithm for generating an image hash that is robust against content-preserving modifications and at the same time, is capable of detecting malicious tampering. Robust features are first extracted from the discrete wavelet transform followed by the Radon transform. Probabilistic quantization is then used to map the feature values to a binary sequence. Results show that the proposed method can resist perceptually insignificant modifications such as compression, filtering, scaling and rotation. It is also able to successfully detect content changing attacks such as insertion of foreign objects.