Restoration Resources
Restore, Learn, Deploy
Restoring film and archival material moves through distinct stages, each with its own tools and decision points, and PFClean's resource library follows that same shape. A restoration typically starts with removing physical defects such as dirt, dust, and emulsion chips, moves into stabilisation and frame-by-frame correction, then is prepared for delivery or archiving. Alongside that sits a separate question every facility faces: how to deploy and scale PFClean without disrupting an existing pipeline. These three areas map onto that journey.
Step-by-step walkthroughs for artists and operators, automatic dirt, dust and emulsion chip removal, film stabilisation setup, and batch restoration workflows inside PFClean, organised by task.
Advanced restoration techniques, film degradation theory, and precision-versus-AI approaches for senior restoration artists, lab supervisors, and archivists working in archival, broadcast, and feature restoration.
Hardware benchmarks, licensing architecture, and deployment guidance for IT managers and facility buyers rolling PFClean out across an archive, lab, or studio.
FAQ
Restoration Pipeline Insights covers the technical and creative side of using PFClean, restoration technique, degradation theory, and workflow decisions. Archival Infrastructure & Deployment covers the operational side, hardware, licensing, and rolling PFClean out across a facility. The first is about how to restore; the second is about how to deploy the tool that does it.
Start with Tutorials. They walk through the core software workflow, dirt, dust, and emulsion chip removal, stabilisation, and batch processing, step by step, before moving on to the more advanced technique covered in Restoration Pipeline Insights.
Both, depending on the section. Tutorials and Restoration Pipeline Insights are written for artists, restoration technicians, and pipeline TDs. Archival Infrastructure & Deployment is written for IT managers and facility buyers evaluating or scaling a PFClean deployment.
No. PFClean's restoration approach is precision-based rather than generative, it targets and corrects specific defects such as dirt, dust, and emulsion chips without introducing the hallucinated detail that AI-based upscaling can add to degraded or out-of-focus material. This distinction is covered in more depth in Restoration Pipeline Insights.