<title>Color characterization of an LC projection system using multiple-regression matrix and look-up table with interpolation</title>

Abstract

A forward model of an LC projector is studied to predict its colorimetric attribution. To identify color characteristics of the projector, 729 colors were measured in a dark room. The forward model was built using three methods: (1) a 3 X 11 multiple-polynomial regression matrix, (2) 3D look- up table (LUT) with cubic interpolation, and (3) a 1D LUT with linear interpolation. In addition, 216 colors were also measured to evaluate the prediction accuracy of the forward model. All methods can be used to obtain acceptable predictions of colorimetric attributions on the lC projector. When the 3 X 11 multiple-polynomial regression matrix was used, the average and maximum prediction differences were 2.18 and 6.68 (Delta) Euv respectively. For the 3D LUT method, those values were 3.3 and 16.4 (Delta) Euv, respectively. The results of the 1D LUT are comparable with those of the 3D LUT if the sampling points per channel of these two approaches are the same. If the sampling points per channel are dense enough, for example 16 points per channel, the performance of the 1D LUT is better than that of the 3 X 11 multiple-polynomial regression matrix.© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.