Design and realization of local peak signal-to-noise ratio based transparent watermarking testing model

By analyzing the characteristics of image local peak signal-to-noise ratio and deciding the chaotic sequence by initial condition and parameters, we use chaotic sequence to generate the watermarking signal and locate the embedding position of watermark signal with chaotic encryption. We build transparent watermarking testing model and analyze the local peak signal-to-noise ratio based transparent watermarking method with adaptive embedding method by encrypting watermarking image and embedding location to improve the model security. This model has the initial condition and parameters sensitive characters, thus easy to control key and security and realizes the DCT blind watermarking embedding based on chaotic. Experimental results show that this method has a good robust and transparency.