Reversible watermarking via histogram shifting and least square optimization

Authors:
Michele Muzzarelli;Marco Carli;Giulia Boato;Karen Egiazarian
Affiliations:
University of Roma TRE, Roma, Italy;University of Roma TRE, Roma, Italy;University of Trento, Trento, Italy;Tampere University of Technology, Tampere, Finland
Venue:
Proceedings of the 12th ACM workshop on Multimedia and security
Year:
2010

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Abstract

In this contribution a novel scheme for reversible watermarking of digital images is presented. It is based on the histogram shifting embedding method applied to the image prediction error. A least square weight optimization criteria-based prediction scheme, is proposed for reducing the prediction error thus improving the embedding performances while guaranteeing high quality of the watermarked image. Experimental results shown the effectiveness of the proposed scheme.