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November 2015
Jinse Shin
Secure and Robust Image Hashing Algorithm for Content based Image Authentication
This paper proposes and evaluates a novel image hashing algorithm with simple and efficient tamper detection and localization capability for content based image authentication. In particular, the image-dependent key derivation stage using coarse image representation is introduced to enhance discriminability and security while the key-dependent histogram of oriented gradients (HOG) computation in conjunction with image intensity random transformation (IIRT) is proposed to construct a robust and secure hash. An extensive performance evaluation on both the classical benchmarking images and a real tamper image database is conducted. It is observed that the proposed method achieves excellent discriminability while still possessing good robustness against JPEG/JPEG 2000 compression and transmission errors. Furthermore, the experimental results and receiver operating characteristic (ROC) analysis demonstrate that the proposed method outperforms four representative image hashing schemes with respect to discriminability and security.
Keywords: Content based image authentication; image hashing; perceptual integrity; tamper detection and localization
Forschungsberichte des Instituts für Digitale Kommunikationssysteme
Edited by Prof. Dr. Christoph Ruland, Siegen
Volume 32
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