Directional motion-compensated spatio-temporal fuzzy filtering for quality enhancement of compressed video sequences

We propose a directional fuzzy filter to enhance the quality of compressed video sequences. A motion compensated spatio-temporal filter (MCSTF) is applied to intra-frame and inter-frame pixels to reduce both spatial and temporal artifacts. The MCSTF is adaptive to the pixel location, the intensity and position of surrounding pixels. To evaluate the flickering artifacts, a new metric is proposed to take into account the tracking characteristic of human eyes. Simulations on H.264 compressed videos show improvement in artifact reduction of the proposed directional fuzzy filter over other conventional spatial or temporal filtering approaches.