# Versatile Video Coding-Post Processing Feature Fusion:
## 4 Experimental Evaluations and Discussion
### Discussion  
The VVC-PPFF architecture showcases its robustness by achieving significant coding gains across a wide range of QP values, from low to high, for both RA and LD scenarios. In video compression, inter-frame prediction involves encoding the changes between adjacent frames rather than the entire frame, which reduces data storage and transmission needs but can compromise video quality. To address this, the proposed network is tailored to enhance reconstruction quality in two distinct scenarios: RA, where any frame can be accessed randomly, and LD, where real-time transmission is crucial, each with its unique set of challenges. This consistency in performance is crucial, as it ensures that the proposed method can effectively reduce encoding artifacts and improve video quality, regardless  
Figure 12: Visual quality comparison of proposed method with 12 feature extraction blocks for RA and LD scenarios at QP 42: (**a**) RitualDance Sequence and (**b**) Cactus Sequence.  
\begin{table}
\begin{tabular}{c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Video**} & \multicolumn{3}{c}{**With QP Map PSNR (dB)**} & \multicolumn{3}{c}{**Without QP Map PSNR (dB)**} & \multicolumn{3}{c}{**PSNR Difference (dB)**} \\  & **Y** & **U** & **V** & **Y** & **U** & **V** & **Y** & **U** & **V** \\ \hline \multirow{2}{*}{BasketBallPass} & \multirow{2}{*}{40.3176} & \multirow{2}{*}{43.9128} & \multirow{2}{*}{43.5004} & \multirow{2}{*}{40.2249} & \multirow{2}{*}{43.8300} & \multirow{2}{*}{43.3209} & \multirow{2}{*}{0.0926} & \multirow{2}{*}{0.0828} & \multirow{2}{*}{0.1795} \\ \cline{1-1 of the specific encoding settings used. Notably, the proposed method excels in enhancing PSNR while reducing bitrate for lower resolution image sequences. These sequences are typically more challenging to improve, as they often exhibit more pronounced artifacts due to the reduced spatial resolution. However, the VVC-PPFF architecture demonstrates its ability to effectively address these challenges, delivering improved PSNR and reduced bitrate for these sequences. By consistently delivering a good coding gain across varying QP ranges and video resolutions, the proposed approach is well-suited to provide superior reconstruction quality. This, in turn, leads to enhanced visual quality, as the reduced artifacts and improved PSNR result in a more accurate and detailed representation of the original video content. The VVC-PPFF architecture's ability to maintain a good coding gain across different video resolutions is particularly noteworthy. This robustness ensures that the proposed method can effectively handle a wide range of video content, from lower resolution sequences to higher resolution ones, without compromising on performance. Ultimately, the proposed VVC-PPFF architecture is designed to provide enhanced visual quality, which is essential for a wide range of applications, including video streaming, broadcasting, and storage. By reducing encoding artifacts and improving PSNR, the proposed method ensures that the reconstructed video is more visually appealing, with reduced distortion and improved overall quality.