Automated assembly line construction for film and video restoration
The following processing pipeline can be constructed for the special needs of old movie restoration:
- Pre-processing stage:
- 使用FFmpeg拆分视频为帧序列(`%04d.png`命名)
- Automatically detects and separates subtitle/table label areas
- Compensation of motion blur by optical flow analysis
- Core processing:
- Configuration-specific `film_grain.yaml` parameter file
- Enable `-temporal_consistency` to maintain inter-frame coherence
- Enable separate enhancement channels for close-ups and faces
- Post-processing optimization:
- Intelligent frame filling to 60fps with DAIN plugin
- Applying DeOldify for Color Restoration
- Eliminate Residual Flickering with Topaz Video AI
- Efficiency gains:
- Build a distributed processing cluster
- Setting up a breakpoint continuation mechanism
- Differential processing for stationary backgrounds
Typical example: 90-minute movie (24fps) takes about 32 hours to process in full flow (using 4 A100s). It is recommended to batch process by scene and establish quality control nodes.
This answer comes from the articleDiffBIR: Intelligent Repair Tool to Improve Image QualityThe
May not be reproduced without permission:AI productivity tools " How to automate the process of batch old movie frame restoration with DiffBIR?
