# Frequency-Based Adaptive Interpolation Filter in Intra Prediction
## 4 Experimental Results
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & \multicolumn{10}{c}{**Adaptive Filter Method Based on _high_freq_ratio_**} \\  & & \multicolumn{10}{c}{**(Proposed Method)**} \\ \hline \multirow{3}{*}{**Class**} & \multirow{3}{*}{**Sequence**} & \multirow{3}{*}{**Y**} & \multirow{3}{*}{**Cb**} & \multirow{3}{*}{**Cr**} & \multirow{3}{*}{**EncT**} & \multirow{3}{*}{**DecT**} \\  & & & & & & & & \\ \cline{1-1} \cline{6-10}  & Tango2 & \(-0.11\%\) & \(-0.36\%\) & \(-0.09\%\) & \(102\%\) & \(103\%\) \\  & FoodMarket4 & \(-0.11\%\) & \(-0.06\%\) & \(-0.22\%\) & \(102\%\) & \(106\%\) \\  & Campfire & \(0.02\%\) & \(0.01\%\) & \(0.17\%\) & \(102\%\) & \(103\%\) \\ \hline \multirow{3}{*}{**A2**} & CatRobot1 & \(-0.01\%\) & \(0.03\%\) & \(0.07\%\) & \(101\%\) & \(106\%\) \\  & DaylightRoad2 & \(0.03\%\) & \(0.34\%\) & \(0.13\%\) & \(103\%\) & \(105\%\) \\  & ParkRunning3 & \(-0.01\%\) & \(-0.01\%\) & \(0.01\%\) & \(101\%\) & \(103\%\) \\ \hline \multirow{3}{*}{B} & MarketPlace & \(-0.01\%\) & \(-0.02\%\) & \(-0.13\%\) & \(102\%\) & \(108\%\) \\  & RitualDance & \(-0.01\%\) & \(0.08\%\) & \(0.02\%\) & \(103\%\) & \(104\%\) \\  & Cactus & \(0.00\%\) & \(-0.02\%\) & \(0.27\%\) & \(102\%\) & \(105\%\) \\  & BasketballDrive & \(0.03\%\) & \(0.04\%\) & \(-0.05\%\) & \(102\%\) & \(108\%\) \\  & BQTerrace & \(0.06\%\) & \(0.00\%\) & \(0.10\%\) & \(102\%\) & \(108\%\) \\ \hline \multirow{3}{*}{C} & BasketballDrill & \(\mathbf{-1.20\%}\) & \(\mathbf{-0.78\%}\) & \(\mathbf{-0.68\%}\) & \(101\%\) & \(110\%\) \\  & BQMall & \(-0.18\%\) & \(-0.26\%\) & \(-0.12\%\) & \(101\%\) & \(106\%\) \\  & PartyScene & \(-0.16\%\) & \(-0.21\%\) & \(-0.16\%\) & \(102\%\) & \(109\%\) \\  & RaceHorses & \(-0.08\%\) & \(-0.04\%\) & \(-0.20\%\) & \(103\%\) & \(103\%\) \\ \hline \multirow{3}{*}{D} & BasketballPass & \(-0.29\%\) & \(-0.25\%\) & \(-0.42\%\) & \(102\%\) & \(104\%\) \\  & BQSquare & \(-0.55\%\) & \(-0.62\%\) & \(-0.21\%\) & \(101\%\) & \(105\%\) \\  & BlowingBubbles & \(-0.19\%\) & \(-0.02\%\) & \(-0.14\%\) & \(101\%\) & \(104\%\) \\  & RaceHorses & \(-0.23\%\) & \(-0.26\%\) & \(0.03\%\) & \(101\%\) & \(103\%\) \\ \hline \multirow{3}{*}{C} & Class A1 & \(-0.07\%\) & \(-0.14\%\) & \(-0.05\%\) & \(102\%\) & \(104\%\) \\ \cline{2-10}  & Class A2 & \(0.00\%\) & \(0.12\%\) & \(0.07\%\) & \(102\%\) & \(105\%\) \\ \hline \multirow{3}{*}{C} & Class B & \(0.02\%\) & \(0.01\%\) & \(0.04\%\) & \(102\%\) & \(107\%\) \\ \cline{2-10}  & Class C & \(\mathbf{-0.41\%}\) & \(\mathbf{-0.32\%}\) & \(\mathbf{-0.29\%}\) & \(101\%\) & \(107\%\) \\ \hline \multirow{3}{*}{C} & Class D & \(-0.31\%\) & \(-0.29\%\) & \(-0.18\%\) & \(101\%\) & \(104\%\) \\ \cline{2-10}  & Overall & \(\mathbf{-0.16\%}\) & \(\mathbf{-0.13\%}\) & \(\mathbf{-0.09\%}\) & \(102\%\) & \(105\%\) \\ \hline \hline \end{tabular}
\end{table} 
Table 12: Experimental results of the proposed filtering method. the CUs using the MRL or ISP in the proposed method so that the 8-tap DCT-IF is selected 0.07% in 32 \(\times\) 32 CU, 0.04% in 16 \(\times\) 64 CU, 0.07% in 64 \(\times\) 16 CU, and 0.07% in 64 \(\times\) 64 CU, compared with 10.59% in 32 \(\times\) 32 CU, 100% in 16 \(\times\) 64 CU, 100% in 64 \(\times\) 16 CU, and 5.56% in 64 \(\times\) 64 CU in the VVC anchor. Table 12 shows the results of the proposed Adaptive Filter Method based on _high_freq_ratio_, in which EncT and DecT represent the total encoding and decoding time ratios compared with the VVC anchor for various test sequences of classes A1 to D in the AI Main 10 configuration. The proposed method allows to achieve the overall BD rate increase of \(-\)0.16%, \(-\)0.13%, and \(-\)0.09% for the Y, Cb, and Cr components, respectively, with an average increase in computational complexity by 2% and 5% in the encoder and decoder, respectively, compared with the VVC anchor. Particularly, the highest BD rate increases amounting to \(-\)0.41%, \(-\)0.32%, and \(-\)0.29% for the Y, Cb, and Cr components are obtained, respectively, in class C compared with the VVC anchor.