Extending　coding　tools　beyond　but　compatible　to　video　coding　standards　provides　a　new　path　to　higher　coding　efficiency.　In　this　paper,　we　propose　an　efficient　video　coding　scheme　with　pre-processing　degradation　and　post-processing　restoration.　Proper　amount　of　high　frequency　information　is　removed　before　encoding　using　edge-preserving　filter,　while　the　post-processing　module　exploiting　convolutional　neural　network　(CNN)　restores　degraded　frames　due　to　pre-processing　and　coding　artifacts　such　as　quantization　error.　Experimental　results　demonstrate　that　the　proposed　video　coding　scheme　achieves　coding　efficiency　gain　of　up　to　-　9.6%　Bjontegaard　delta　bit　rate　(BDBR)　compared　with　H.265/HEVC　reference　model.　©　2023　IEEE.