Improvement in Tile Quality of Vidio Signals by Spatio-Temporal Data-Dependent Filtering

The restoration of video signals corrupted by the additive noise is important for getting the high quality video and the high compression ratio of video signals. In this paper, we propose a novel restoration method for video signals corrupted by the Gaussian noise. Conventional methods use the spatio-temporal filtering after the motion compensation. However, the accuracy of the motion compensation on degraded image is not satisfied. Therefore, in the proposed method, we introduce a spatial filter as the pre-filter for motion compensation. Furthermore, the proposed method makes has four filter choices (i.e., spatio-temporal filter, spatial filter, temporal filter, identity filter) depending on the local information. Thus, the proposed data dependent filter can reduce the additive noise while preserving the signal edge/detail and motion