The most modern approach to involves convolutional neural networks (CNNs). Trained on millions of clean vs. compressed 4K frame pairs, AI models can guess what lies beneath a mosaic block. If a face is reduced to a 10x10 pixel mosaic, a level 4 AI reducer can hallucinate plausible texture (skin pores, hair strands) based on surrounding context. This isn't perfect for forensics, but for visual restoration, it's revolutionary.
Exceptional 4K detail; smoother, less intrusive mosaic; high production value. ssis698 4k reducing mosaic
This averages three frames, effectively filling in missing data from the least-mosaic’d frame. The most modern approach to involves convolutional neural
ffmpeg -i input_ssis698.mkv -vf "deblock=filter=strong:block=4, hqdn3d=1.5:1.5:3:3" -c:v libx264 -crf 18 -preset slow output_clean.mp4 but for visual restoration