We propose a frame-rate conversion algorithm using hybridsearch-based motion estimation (ME) and adaptive motioncompensated interpolation (MCI). The ME method uses three search strategies: recursive search, three-step search with predictions, and single predicted search. One of them, which is best suited for the predicted motion type, is adaptively performed on a block basis. This adaptation process improves the accuracy of the estimated motion vectors without increasing the computational load. With the estimated motion vectors, the proposed MCI method reconstructs high-quality frames, without producing block artifacts, by considering multiple motion trajectories. The method utilizes pixel smoothness constraints besides motionvector reliability when creating and combining the multiple motioncompensated results to remove block artifacts in regions with unreliable motion vectors. Experimental results show that the proposed ME method produces reliable motion vectors that are closer to true motions. Also, the proposed MCI method achieves better image quality than existing algorithms.
Bibliographical noteFunding Information:
This work was supported in part by the IT R&D program of MCST/IITA (2008-F-031-01, Development of Computational Photography Technologies for Image and Video Contents) and by the Seoul Future Contents Convergence (SFCC) Cluster established by the Seoul R&BD Program.
All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics