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Quantum-Dot Cellular Automata based Fragile Watermarking Method for Tamper Detection using Chaos
Author(s) -
Türker Tuncer,
Şengül Doğan
Publication year - 2018
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2018.12.04
Subject(s) - digital watermarking , computer science , watermark , authentication (law) , chaotic , piecewise , block (permutation group theory) , cellular automaton , image (mathematics) , embedding , artificial intelligence , pattern recognition (psychology) , algorithm , theoretical computer science , computer vision , mathematics , computer security , mathematical analysis , geometry
Fragile watermarking techniques have been widely used in the literature for tampered areas localization and image authentication. In this study, a novel quantum-dot cellular automata based fragile watermarking method for tampered area localization using chaotic piecewise map is proposed. Watermark generation, embedding, extraction and tampered area localization phases are consisted of the proposed quantum dot cellular automata and chaos based fragile watermarking method. In the watermark generation phase, quantum dot cellular automata and piecewise map which is a chaotic map are utilized. A block based method is utilized as authentication values embedding and extraction phases. To detect tampered areas, generated watermark and extracted watermark are compared. Also, block counters are used to tamper detection. In order to evaluate this method, capacity, imperceptibility and image authentication ability were utilized as performance metrics and the results of these metrics clearly illustrated that the presented method is suitable for image authentication and tamper detection.

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