Learning Tfs (Only For Color Negatives) - AGFA d-lab.3 Technical Documentation Manual

Operation

Learning TFS (only for color negatives)

TFS learning / using TFS activated:
The aim is to ensure a uniform production by
compensating for color dominants and emulsion
fluctuations.
Self-learning TFS curves:
Learning phase: At least 21 different films of
–
the same film type with at least 6 negatives
each must be scanned. The films should be
exposed on different cameras if possible.
The learning TFS is based on the DX code. As
the fluctuations due to film processing
differences are stronger than the differences
among film types, the best results are obtained
with films that have been processed, if
possible, in an identical or similar way.
During the learning phase the standard values
are used.
Only after the learning phase, i.e. from film 22
–
of the same type on, the film type specific
values determined during the prescan have an
effect: The TFS curves are used for logic
calculations.
This has an effect on the handling of dominant
colors. Advantages are especially visible in film
with a large green portion: The magenta color
casts in the gray areas are reduced.
Reset TFS:
The determined values for all films are reset, i.e.
all curves are deleted. This Reset should only be
activated if the production deteriorates. Then the
learning process begins again.
Use different films of the same type for the
learning, do not use the same film 22 times as
otherwise the statistics will be falsified!
AGFA d-lab.3
2003-06-01 /PN 9008
Settings
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