Getting a clean, artefact-free restoration isn't just a matter of running the right tool, it comes down to understanding why film degrades the way it does, and what a given correction is actually doing to the image underneath it.

This section goes past the software mechanics covered in Tutorials and into that deeper layer: the theory behind dirt, dust, and emulsion chip degradation, the workflow decisions restoration artists make on difficult or heavily damaged material, and the tradeoffs between different correction approaches. It also covers a distinction that matters more with each generation of restoration tools, why PFClean's precision, defect-targeted approach avoids the hallucinated detail that AI-based upscaling can introduce into degraded or out-of-focus footage, and what that means for a pipeline working with genuinely archival material. Written for restoration artists, lab supervisors, and pipeline TDs who want the reasoning behind the workflow, not just the steps.