Effect of data scaling on color device model fitting
Abstract: Output devices in
print production can be characterized by different characterization methods.
One commonly used method of color device characterization is least squares
fitting. In essence, the least squares fitting is used to determine the
coefficients of a predetermined polynomial, such that the sum of squared
differences between the values predicted by the model and the empirical data is
minimal. The choice of the polynomial order and the cross product terms which
best describe the behavior of a certain device is not obvious. This paper is a
part of a larger study which investigates the criteria in the measurement data
which can be used for optimal model selection. The part of the study covered in
this paper addresses the data over fitting problem. It is investigated by
comparing the performance of models of different polynomial orders on two
different domains.
Author: Davor Donevski, Diana
Milcic, Dubravko Banic
Journal Code: jptindustrigg100038
