A Motion-Aligned Auto-Regressive Model for Frame Rate Up Conversion

In this paper, a motion-aligned auto-regressive (MAAR) model is proposed for frame rate up conversion, where each pixel is interpolated as the average of the results generated by one forward MAAR (Fw-MAAR) model and one backward MAAR (Bw-MAAR) model. In the Fw-MAAR model, each pixel in the to-be-interpolated frame is generated as a linear weighted summation of the pixels within a motion-aligned square neighborhood in the previous frame. To derive more accurate interpolation weights, the aligned actual pixels in the following frame are also estimated as a linear weighted summation of the newly interpolated pixels in the to-be-interpolated frame by the same weights. Consequently, the backward-aligned actual pixels in the following frame can be estimated as a weighted summation of the corresponding pixels within an enlarged square neighborhood in the previous frame. The Bw-MAAR is performed likewise except that it is operated in the reverse direction. A damping Newton algorithm is then pr...

• Type: Journal
• Year: 2010
• Where: TIP
• Authors: Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wang, Wen Gao
• Keywords: Education, Linear Weighted Summation, Pixels, TIP 2010, Weighted Summation