The Application Of Wavelet In Watermark And Target Tracking

On the basis of explicit introduction of theory and methods of wavelet,we introduce the function of wavelet in the application to digital watermarking and target tracking.The theory of wavelet transformation is a new math branch which emerges in recent years,it is a local transformation between time domain and frequency domain.Due to the development and the peculiarity of the wavelet transformation, the Digital image watermark technology which is based on wavelet transformation,has become the focus of watermark research.Image tracking is an active topic in computer vision domain,and has widely applied in visual monitoring,human-machine interaction and robot navigation,etc.This dissertation is organized as follows.In ChapterⅠ,we give a brief introduction of the wavelet theory,the development of watermark and the general situation of the target tracking.In ChapterⅡ,we derive a watermark algorithm in the wavelet domain,and it is based on the scrambling transformation. Within this algorithm the watermark is adopted from the gray image. In order to enhance the safeness and robustness of the watermark system, we firstly pretreat the watermark image by scrambling transformation before embeding.Then we embed the watermark into the middle or high DWT coefficients, so that we can have a good balance between perceptual invisibility and robustness.In ChapterⅢ,we mainly investigate the particle filter theory and its implementation.We use it to solve the target tracking problems and to construct tracking framework which is based on the likelihood functions.Finally we investigate the target tracking methods with wavelet characteristics by the representations which are taken the goal by the wavelet characteristics.