Improvement in the quality of video signals by using data-dependent filtering

Abstract

The restoration of the video signals corrupted by the additive noise is important for getting high quality image and high compression ratio of video signals. In this paper, we propose a novel restoration method for the video signals corrupted by the only Gaussian noise. The proposed method makes choice into four filters (i.e., spatio-temporal filter, spatial filter, temporal filter, identity filter) depend on the local information. Thus, the proposed filter can reduce the additive noise while preserving the signal edge/detail and motion.