Digital watermarking optimization using fuzzy-neural method

One of the practical problems in the field of image processing use the notation in the pictures. This method has very many applications in the field of security and trade. In this field,the first step is digital transform of watermark and image. We increase the strength and Stability of the watermarking using theFourier cosine transform methods. Two basic parameter of watermarking methods is the peak signal to noise ratio and biterror rate. In proposed method, we improve these twoparameters using fuzzy method and neural method to optimize the results achieved and the training algorithm. The simulation results obtained by this method indicate that performance of considered parameters better than the previous method of presentation and so to repeat 100 times fuzzy approach achieved the desired results.

Keywords:

Watermarking , sensitivity , PSNR , fuzzy method , RBF