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Inverse display characterization: A two‐step parametric model for digital displays
Author(s) -
Blondé Laurent,
Stauder Jürgen,
Lee Bongsun
Publication year - 2009
Publication title -
information display
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.182
H-Index - 20
eISSN - 2637-496X
pISSN - 0362-0972
DOI - 10.1002/j.2637-496x.2009.tb00014.x
Subject(s) - color space , luminance , rgb color model , computer science , display device , parametric statistics , computer vision , computer graphics (images) , chromatic scale , transformation (genetics) , artificial intelligence , weighting , crts , mathematics , image (mathematics) , medicine , biochemistry , statistics , chemistry , radiology , combinatorics , gene , operating system
A simple additivity model is often used as a basic model for digital‐display characterization. However, such a simple model cannot satisfy the needs of demanding color‐management applications all the time. On the other hand, systematic sampling of the color space and 3‐D interpolation is an expensive method in terms of measurement and computation time when precision is needed. An enhanced method to characterize the XYZ‐to‐RGB transform of a digital display is presented. This parametric method exploits the independence between the luminance variation of the electro‐optic response and the colorimetric responses for certain display types. The model is generally applicable to digital displays, including 3‐DMD projectors, single DMDs, CRTs, LCDs, etc., if the independence condition is satisfied. While the problem to solve is a 3‐D–to–3‐D transformation (from XYZ to RGB), the proposed parametric model is the composition of a 2‐D transform followed by a 1‐D transform. The 2‐D transform manages the chromatic aspects and, in succession, the 1‐D transform manages the luminance variations. This parametric digital model is applicable in the field of color management, with the objective of characterizing digital displays and applying a reference look such as a film look.