Explanation of batch Match, Sync, and Roll Analysis

Welcome to the forum @SnappyMilt

I never use match and sync, instead I adjust an image and make that a preset, then convert the image and all related images. Seems tedious, but works like a charm.

Roll Analysis:

Why: Sometimes, an image has not much (variety) of colours and tones and NLP provides conversions that are not what we expect. Colour balance, tonality and more can suffer under such circumstances.

Idea: Other images on the same roll might have a different or wider variation of colour and tonality, so why not use these images to fill in what’s missing in the other image(s).

Preparation: Capture all negatives of a roll with the same settings (iso, aperture, shutter speed) in order to provide the most suitable material for Roll Analysis and conversion.

Notes:

  • NLP works adaptively, based on what colours and tones are present in a negative. Think of NLP as stretching what it gets to fill the histogram. The more NLP has to stretch things, the bigger any unwanted shifts get and the more obvious.
  • A “roll” can be a roll in the sense of what you took out of your camera after a shoot, it can also be an arbitrary number of images, preferably shot on the same film stock.
  • Think of conversions as of starting points for further editing. Analog photography has simply too many variations for deterministic conversions. Roll Analysis helps to work around these variations.
  • If a conversion is way off, reset the image with NLP and convert it again with different settings, e.g. colour model, pre-saturation, border buffer, crop, white balance etc.
2 Likes