Hierarchical Semi-Fragile Colour Image Authentication Using Weighted Finite Automata

Image error localization is a popular topic in image processing. In this paper, we present an efficient technique for hierarchical semi-fragile colour image authentication with improved error localization. The authentication signature is extracted from hierarchal image representation in the automata domain. In the automata domain the self-similarity of the coloured image is represented using hierarchical weighted finite automata. The proposed technique is capable of detecting and localizing malicious attacks as well as colour tampering. Experimental results are presented to demonstrate the effectiveness of the proposed technique for well-known images.