To correctly predict printing results with less printing and measurements.
In an initial stage, a gradation patch of primary colors is printed and a spectral reflectivity R() is measured and a color patch is printed and a spectral reflectivity () is measured only for the few first representative points. Thereafter, a spectral reflectivity () is measured for second representative points using a neural network NNR wherein some of the first representative points, which are stable, are used as learned data CD1. By this method, a spectral reflectivity () for a sufficient number of nodes (first representative points + second representative points) for predicting a spectral reflectivity () using the Cellular Yule-Nielsen Spectral Neugebauer Model can be obtained. Since a color patch is printed and a spectral reflectivity () is measured only for a few first representative points, a printing or measurement workability can be improved and thereby printing results can be predicted and a LUT can be created efficiently.
Osamu Suzawa
Kazuhiko Miyasaka
Next Patent: MOBILE ELECTRONIC EQUIPMENT