A Bayer motion estimation for motion-compensated frame interpolation
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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.
KeywordsMotion-compensated frame interpolation Bayer pattern Prediction model Bilateral motion estimation Motion vector prediction
This work was supported in part by the National Natural Science Foundation of China, under Grants nos. 61501393 and 61572417, in part by Nanhu Scholars Program for Young Scholars of XYNU, and in part by Innovation Team Support Plan of University Science and Technology of Henan Province (No. 19IRTSTHN014).
- 1.Alparone L, Barni M, Bartolini F, Cappellini V (1996) Adaptively weighted vector-median filters for motion fields smoothing. Proc IEEE Int Conf Acous Speech Sign Proc:2267–2270Google Scholar
- 11.Y. Huang, F. Chen, and S. Chien, “Algorithm and architecture design of multi-rate frame rate up-conversion for ultra-HD LCD systems,” IEEE Trans Circ Syst Video Technol, reprintedGoogle Scholar
- 17.Lin YC, Tai SC (2002) Fast full-search block-matching algorithm for motion-compensated video compression. IEEE Trans Commun 45(5):527–531Google Scholar
- 21.Subjective Video Quality Assessment Methods for Multimedia Applications (1999) Int. Telecommun. Union, Geneva, SwitzerlandGoogle Scholar
- 26.Young DM, Gregory RT (1988) A survey of numerical mathematics. New York: Dover 2:759–762Google Scholar