| Digital watermarking is one of the most important branch on information hiding. It can provide effective protection for digital media forgery, falsification, authentication, security and intactness by embedding a special mark (digital watermark) into the multimedia data. At present the images are also the basic of mutimedia information .Therefore, researches in this paper mainly focus on the watermarking technologies for gray value images, which are described as follows:After the usual algorithms of digital watermarking,Wavelet transform and Watson perceptual model are introduced, an image digital watermarking method based on perceptual theory are discussed. On the basis of the features of original image ,the quantizer steps needed by embedment and extraction of the watermarking signals in is computed via Watson model ,as the same time because the watermark message is extracted by neither original images nor watermark images ,the algorithm is the blind watermark method. The algorithm scrambles the original watermarking image in pretreatment, which improves the ability against attacks of the algorithm.It improve the short that the big error leaded by rounding the value for saving the watermark. The method of channel coding and application in the watermark method are introduced.Then the BCH code and the convolution code are applied in the system which improves the ability against attacks of the algorithm furtherly.This paper carries on various of the programming simulation research to the algorithm mentioned. Then we have some tests to compare the different watermarking. The test results prove the method has good robustness and invisibility of watermarking. Its credibility and practicality are very well. |