Triple Motion Estimation and Frame Interpolation based on Adaptive Threshold for Frame Rate Up-Conversion
This work addresses frame rate up-conversion for video processing applications, representing an incremental improvement with specific gains in quality.
The paper tackles the problem of generating high-quality interpolated frames for frame rate up-conversion by proposing a novel motion-compensated algorithm that uses unilateral and bilateral motion estimation with adaptive thresholding to reduce artifacts and handle holes, resulting in much higher quality frames compared to existing methods.
In this paper, we propose a novel motion-compensated frame rate up-conversion (MC-FRUC) algorithm. The proposed algorithm creates interpolated frames by first estimating motion vectors using unilateral (jointing forward and backward) and bilateral motion estimation. Then motion vectors are combined based on adaptive threshold, in order to creates high-quality interpolated frames and reduce block artifacts. Since motion-compensated frame interpolation along unilateral motion trajectories yields holes, a new algorithm is introduced to resolve this problem. The experimental results show that the quality of the interpolated frames using the proposed algorithm is much higher than the existing algorithms.