What is FOGRA39? FOGRA39 is a characterization data set, developed by German graphic technology research organization in 2006 and registered in the. It represents the colours of a typical print made by commercial offset litho on gloss or matte coated paper, according to the standard printing definition in ISO 12647-2:2004 / Amd 1. Like all registered data sets, it represents CMYK values and the expected measurements in CIE XYZ and CIELAB.
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ISO Coated v 2 to PSO Coated v3 (DeviceLink) iso-coated_v 2_to_psocoated_v3_devicelink.zip. For the WAN-IFRA newspaper profiles please visit the WAN-IFRA website or go directly to Newspaper Colour Profile Download (2012-07-07). Which CMYK Profile Should I Use? Now been replaced with a new Version-2 update based on a new. To download from the ECI website. 'ISO coated v2.
Spectral data is not available. As with many more recent data sets, FOGRA39 is not derived from direct measurements of prints but on the results of smoothing of multiple measurements to ensure a better reproduction target. Full details of the can be found in the in the, with contact information in case of queries. ICC profiles have been made from FOGRA39 data, including ISOcoated_v2_300_eci.icc from. Profiles made from FOGRA39 data can also be found in the. An ICC profile made using FOGRA39 characterization data would be used to define the colours of a piece to be printed according to the corresponding printing condition.
A document in RGB might be converted to CMYK using the profile as destination; or the profile might be set as the OutputIntent of a PDF/X file sent to the printer. The profile might also be used in proofing, to define the colours of the proof when reproduced on a soft proofing display or hard copy proofing system. The contains many other characterization data sets, each one corresponding to a specific standard printing condition. Data sets are provided by industry associations and based on experience of printing inks, papers and presses in their market; FOGRA39 is widely used in Europe but in North America might be more common.
For any given characterization data set it is possible to make multiple profiles, as there are different ways of constructing a profile for example to give different black generation options.