Robust image data hiding using geometric mean quantization

Authors:
Mohammad Ali Akhaee;Shahrokh Ghaemmaghami;Amir Nikooienejad;Farokh Marvasti
Affiliations:
Advanced Communication research Institute, Sharif University of Technology;Electronic Research Center, Sharif University of Technology;Advanced Communication research Institute, Sharif University of Technology;Advanced Communication research Institute, Sharif University of Technology
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

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Abstract

In this paper, a novel quantization based watermarking method is proposed. For blind detection, a set of nonlinear convex functions based on geometric mean are investigated. In order to achieve minimum distortion, the optimum function set is found. The algorithm is implemented on the approximation coefficients of wavelet transform for natural images. In order to make the algorithm more robust and imperceptible, a new transform domain called Point to Point Graph (PPG), which converts a 1-D signal to a 2-D one, has been used. The error probability of the proposed scheme is analytically investigated. Simulation results show that this algorithm has great robustness against common attacks such as AWGN, JPEG and rotation in comparison with recent methods presented so far.