Autor: |
Li, Ran, Ji, Bingyu, Li, Yanling, Wu, Changan |
Zdroj: |
Multimedia Tools & Applications; Jul2019, Vol. 78 Issue 14, p19603-19619, 17p |
Abstrakt: |
We propose a Bayer ME algorithm which is used to improve the performance of Motion-Compensated Frame Interpolation (MCFI). The core of the proposed algorithm is a predictive model designed from the alternate arrangement of Bayer pattern. According to the predictive model, the Motion Vector Field (MVF) of the interpolated frame is first split into basic blocks and absent blocks, and then an improved Bilateral Motion Estimation (BME) is proposed to compute the MVs of basic blocks. Finally, with the local stationary statistics of MVF, the MV of an absent block is predicted from the MVs of its neighboring basic blocks. Experimental results show that the proposed Bayer ME algorithm can improve both objective and subjective quality of the interpolated frame with a low computational complexity. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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