2002 | OriginalPaper | Buchkapitel
New Iterative Geometric Methods for Robust Perceptual Image Hashing
verfasst von : M. Kıvanç Mıhçak, Ramarathnam Venkatesan
Erschienen in: Security and Privacy in Digital Rights Management
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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We propose a novel and robust hashing paradigm that uses iterative geometric techniques and relies on observations that main geometric features within an image would approximately stay invariant under small perturbations. A key goal of this algorithm is to produce sufficiently randomized outputs which are unpredictable, thereby yielding properties akin to cryptographic MACs. This is a key component for robust multimedia identification and watermarking (for synchronization as well as content dependent key generation). Our algorithm withstands standard benchmark (e.g Stirmark) attacks provided they do not cause severe perceptually significant distortions. As verified by our detailed experiments, the approach is relatively media independent and works for audio as well.