A Novel System Structure for Video Upsampling on Mobile Devices

At the present situation, since the bandwidth of wireless network is limited, the video quality on mobile device is low. Although the display resolution of mobile device is higher and higher these days, the quality of video stream is not improved. The low video quality greatly reduces the willingness of people to use video services. In view of the fact that the computational resources are idle at the server end and the client end during the transmitting time, in this thesis, we make a trade-off between computational power of mobile devices and video quality to resolve the problem of video resolution insufficiency. The main bottleneck of video quality is the low bandwidth of transmission. Moreover, the battery power of mobile devices and the capacity of real-time upsampling are two chief considerations in the mobile environment. To enhance the video quality, we proposed a novel coding architecture. Initially, we determine the parameters that are needed for upsampling. Then, the parameters are sent along with video stream. When users receive transcoded video, they extract the frames with parameters and combine video frames with additional data together to display higher resolution. It is noticed that although traditional methods can provide high-speed upsampling, they process a lot of defects such as blocking effects and blur. The experimental results show that our approach can achieve higher visual quality than traditional methods. In addition, the proposed video upsampling algorithm is efficient and can be applied on mobile devices.