Wavelet-based Multiscable Video Encoding

With the development of Internet and wireless, it is easier for people to obtain real-time image and video over networks, which generates the technology of streaming media. However the characteristics of internet, such as heterogeneity, packet loss, delay, also give new challenges to the research of video coding. Then the goal of video and image coding is changing from storage oriented to network oriented. And the scalable coding is largely applied and appreciated in the field of video transmitting over Internet.This paper mainly researches on scalable coding. Major work and contribution could be described as follows.(1) Improved the wavelet-based motion estimations. Some well-known wavelet-based motion estimations algorithms are analyzed ,and choose the better algorithm. We improve the initialization to achieve it. The experiment shows that the motion compensation effect of the improved method is better than the effect of old ones and this method is better to improve the efficiency of video coding.(2) Improved the wavelet-based video encoding method. This method uses hybrid scalability which includes SNR, spatial, temporal. And we add the frame pretreatment module. The experiment shows that the method keeps the character of scalable coding and improves the encoding efficiency.