Reversible watermarking via histogram shifting and least square optimization
Michele Muzzarelli, Marco Carli, Giulia Boato, Karen Egiazarian · 2010
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.