Spatio-Temporal Consistency Enhancement for Disparity Sequence
Haixu Liu, Chenyu Liu, Yufang Tang, Haohui Sun, Xueming Li · International Journal of Signal Processing Image Processing and Pattern Recognition · 2014
Disparity estimation for still images has attracted much interest and acquired many promising results. However, simply applying these methods to produce a disparity sequence may suffer from the undesirable flickering artifacts. These errors not only distinctly decrease the visible quality of the synthesized video, but also significantly reduce the coding efficiency of the disparity sequence. In this paper, a novel temporal consistency enhancement algorithm based on Guided Filter and Temporal Gradient (GFTG) is proposed. The flickering artifacts and noises are effectively removed and the edges of objects are well preserved. Both quantitative and qualitative evaluations show that the spatio-temporal consistency has been highly improved by utilizing our approach.