A new PEE-based reversible watermarking algorithm for color image

This paper presents a new reversible watermarking algorithm for color image. The traditional technique is to embed data into each color channel independently. Considering that the color channels correlate with each other, we propose a reversible watermarking algorithm based on prediction-error expansion that can enhance the prediction accuracy in one color channel through exploiting the gradient information from the other channels. In doing so, the magnitude of the prediction-error is decreased generally, and consequently, the distortion to the host image is diminished. Experimental results demonstrate that the proposed algorithm outperforms the traditional methods that independently embed watermark into each channel.