Image watermarking in the autocorrelation domain

Authors:
Mahmood Al-khassaweneh;Selin Aviyente
Affiliations:
Michigan State University, East Lansing, Michigan;Michigan State University, East Lansing, Michigan
Venue:
Proceedings of the 4th ACM international workshop on Contents protection and security
Year:
2006

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Abstract

Local autocorrelation function is a well-known transform used for representing the transient information in a signal. In this paper, we adapt this transform to the image watermarking problem and offer a new framework for joint spatial-spectral watermarking. The local autocorrelation function is computed for selected pixels from the image and the watermark is embedded in this new transform domain. A semi-blind watermark extraction algorithm is proposed and the performance is quantified by deriving the probability of error. The robustness of the proposed watermarking algorithm is also tested under different attacks.