An intelligent digital colour image watermarking approach based on wavelets and general regression neural networks

In this paper, we propose a new intelligent, robust and adaptive digital watermarking technique for colour images based on the combination of discrete wavelet transform (DWT), human visual system (HVS) model and general regression neural network (GRNN). First, the RGB image is converted to YCrCb image, and then the luminance component Y is decomposed by DWT. Wavelet coefficients are then analyzed by a HVS model to select suitable coefficients for embedding the watermark. The watermark bits are embedded into the selected coefficients by training a GRNN. At the decoder, the trained GRNN is used to recover the watermark from the watermarked image. The experimental results show that our proposed approach achieves robustness and imperceptibility in watermarking.