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In video coding, interpolation filters play an important role in motion-compensated prediction. In Versatile Video Coding (VVC), adaptive motion vector resolution (AMVR) that makes use of fractional samples by 8-tap Discrete Cosine Transform-based interpolation filter (DCT-IF), 7-tap DCT-IF, or 6-tap Smoothing interpolation filter (SIF) was adopted. This paper proposes an adaptive interpolation filter to improve motion-compensated prediction. A 12-tap DCT-IF is designed to improve the filter response in the high frequency range and applied by a proposed filter selection method using correlation that considers the frequency characteristics of reference block found from motion estimation. Experimental results show that the proposed method achieved the overall Bj&#x00F8;ntegaard Delta (BD)-rate gains of -0.27%, -0.12%, and -0.01% for Y, Cb, and Cr components, respectively, under the Random Access (RA) configuration compared with VVC.

Adaptive Interpolation Filter Using Correlation for Inter Prediction