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Robust perceptual color image hashing using quaternion singular value decomposition
2014
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Perceptual hashing provides compact and efficient representations for image retrieval, authentication and tamper detection applications. However, most of existing perceptual hashing algorithms are designed for gray-level images and, therefore, color correlation and interaction are simply ignored. In this paper, we propose a novel perceptual hashing for color images using the quaternion singular value decomposition (Q-SVD). In this algorithm, color images are processed through randomized
doi:10.1109/icassp.2014.6854311
dblp:conf/icassp/Ghouti14
fatcat:mnchlpbo3rh75bvfpswfmoc7qa