Introduction - If you have any usage issues, please Google them yourself
】Based on the digital watermark and information theory, a rudimental research for the Gaussian watermark capacity is given. Considering that Gaussian distribution has the maximum uncertainty with the maximum entropy among all given second-order distributions, this paper focuses on the watermark communication process with Gaussian channel, and uses the average mutual information to analyze the communication capacity. Also the additive noise channel is introduced to expand the non-Gaussian case. The formula of maximum transmission rate for Gaussian watermark channels is given and simplified, and the 2D and 3D curves for the relationship between the distortion and channel capacity by Matlab are illustrated. It analyses the results at different distortions in two different usages of watermark.