Description

Frame Rate Up-Conversion Method for Video Processing Applications

In this project,is frame rate up conversion using video processing applications. In the proposed FRUC method, true motion estimation is used to track motion trajectories by imposing smoothness constraints on block-matching algorithm. In order to produce high-quality interpolated frames, TME is performed in both forward and backward directions; then, the reliable dense motion vector field is obtained by using the multistage motion vector post-processing method. We use a histogram-based predictive search to impose smoothness constrains and reduce the number of search points.The proposed method is introduced to reduce computational complexity with slight quality degradation. In addition, a new scan order of BMA and a pipelining of MV post-processing are presented to guarantee the causality of the system and improve the pixel data reuse, which reduces the memory bandwidth. The experiment results show that the proposed FRUC method achieves not only better video quality, but also low computational complexity and memory bandwidth compared to the conventional methods.