cineFlow — degraining small-gauge scans, open source

Here’s a collection of examples to show you what you can expect:

Left: raw scan. Right: processed.

  • Grand Canyon — heavy noise in the shadows. Two factors combine here: the K25 latent image sat for over a year before development, and the scene itself has a very high contrast range.
  • Fast Birds — many small, fast-moving objects against an almost textureless background. Notoriously difficult material: averaging over time without tracking the motion properly gives you smearing or double contours.
  • Yellowstone — fast-moving diffuse objects (a waterfall) and transparent spray. Image content that strictly speaking has no unambiguous correspondence between two frames at all.
  • Las Vegas — wide contrast range and rapidly changing lights. Not an easy one.
  • Rooftops Seattle — a different film stock: Ektachrome, nicely faded over the years. Different emulsion, different grain.

All footage is Super-8, scanned including the perforation and frame edges — nothing cropped or cleaned up beforehand.

A note added: the sections listed above use different parameter sets, optimized via the GUI flowQt for the material at hand. All scenes within a section use the same settings.

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