Robust Hash Functions for Digital Watermarking
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
A secure and robust hash-based scheme for image authentication
Signal Processing
Structural Feature-Based Image Hashing and Similarity Metric for Tampering Detection
Fundamenta Informaticae
Robust video hashing based on radial projections of key frames
IEEE Transactions on Signal Processing - Part II
Robust and Secure Image Hashing via Non-Negative Matrix Factorizations
IEEE Transactions on Information Forensics and Security - Part 1
Robust and secure image hashing
IEEE Transactions on Information Forensics and Security
A novel reversible image authentication scheme for digital images
Signal Processing
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Image hashing is an emerging technology in multimedia security for applications such as image authentication, digital watermarking, and image copy detection. In this paper, we propose a robust image hashing based on the observations that image pixels of each ring are almost unchanged after rotation and ring-based image entropies are approximately linearly changed by content-preserving operations. This hashing is achieved by converting the input image into a normalized image, dividing the normalized image into different rings and extracting the ring-based entropies to produce hash. Hash similarity is measured by correlation coefficient. Experiments show that our hashing is robust against content-preserving manipulations such as JPEG compression, watermark embedding, scaling, rotation, brightness and contrast adjustment, gamma correction and Gaussian low-pass filtering. Receiver operating characteristics (ROC) curve comparisons with notable algorithms indicate that our hashing has better classification performances than the compared algorithms.