A Novel Optimal Color Image Watermarking Scheme

A novel optimal color image watermarking scheme in DWT domain is proposed in this paper to meet the watermarking properties: security, imperceptibility and robustness. In the scheme, watermark comes from a meaningful gray image encrypted by two-dimensional chaotic stream encryption. In the procedure of watermark embedding, the watermark is embedded into host color image through selecting and modifying the wavelet coefficients using Genetic Algorithm(GA) to improve the imperceptibility of watermarked image. In order to identify the owner of extracted watermark, Synergetic Neural Network(SNN) is used in the watermarking identification to overcome the limitation of correlation analysis or the human sense organ after some attacks. The results of our scheme realization and robust experiments show that this novel scheme has preferable performance.