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Xianquan Zhang , Guangxi Normal University, Guilin
Shichao Zhang , Guangxi Normal University, Guilin and University of Technology, Sydney
This paper designs an efficient image hashing with a ring partition and a non-negative matrix factorization (NMF), which is with both the rotation robustness and good discriminative capability. The key contribution is a novel construction of rotation-invariant secondary image, which is used for the first time in image hashing and is helpful to make image hash resistant to rotation. In addition, NMF coefficients are approximately linearly changed by content-preserving manipulations, so as to measure hash similarity with correlation coefficient. We conduct experiments for illustrating the efficiency with 346 images. Our experiments show that the proposed hashing is robust against content-preserving operations, such as image rotation, JPEG compression, watermark embedding, Gaussian low-pass filtering, gamma correction, brightness adjustment, contrast adjustment and image scaling. Receiver operating characteristics (ROC) curve comparisons are also conducted with the state-of-the-art algorithms, and demonstrate that the proposed hashing is much better than all these algorithms in classification performances with respect to robustness and discrimination.
Robustness, Image coding, Algorithm design and analysis, Vectors, Transform coding, Feature extraction, Watermarking, Data communications aspects, Data, General, Data encryption
Xianquan Zhang, Shichao Zhang, "Robust Perceptual Image Hashing Based on Ring Partition and NMF", IEEE Transactions on Knowledge & Data Engineering, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TKDE.2013.45
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