Adaptive digital watermarking using neural network technique

Abstract

A novel image watermarking approach based on the human visual system (HVS) model and neural network technique is proposed. The human visual system model is utilized to generate the suitable strength of embedded watermark and can be described in terms of four properties of HVS model: entropy, frequency, luminance, and texture sensitivity. The neural network technique has been employed to obtain the local characteristics of image. In our experiments for each different image the watermark can be adjusted to provide a maximum and suitable strength subject to the imperceptibility constraint.