The PLVC display color characterization model revisited

Abstract

This work proposes a study of the Piecewise Linear assuming Variation in Chromaticity (PLVC) display color characterization model. This model has not been widely used as the improved accuracy compared with the more common PLCC (Piecewise Linear assuming Chromaticity Constancy) model is not significant for CRT (Cathode Ray Tube) display technology, and it requires more computing power than this model. With today's computers, computational complexity is less of a problem, and today's display technologies show a different colorimetric behavior than CRTs. The main contribution of this work is to generalize the PLVC model to multiprimary displays and to provide extensive experimental results and analysis for today's display technologies. We confirm and extend the results found in the literature and compare this model with classical PLCC and Gain-Offset-Gamma-Offset models. We show that using this model is highly beneficial for Liquid Crystal Displays, reducing the average error about a third for the two tested LCD projectors compared with a black corrected PLCC model, from 3.93 and 1.78 to respectively 1.41 and 0.54 DE Ã ab units.

Visual gamma correction for LCD displays

“…Performance of OETF estimation in relationship to the number of observers' data used. accuracy in particular for Liquid Crystal Displays [16]. Investigating the effect of observer variability on the device calibration using the PLVC model would be an interesting follow-on experiment.…”

Stereoscopic surround displays using interference filters

“…By using interfaces of the described software components we can define test sequences to perform an automated measurement of the colorimetric parameters needed model the projectors. We assume a PLCC projector model ( [13]), which models projectors using a per projector chromaticity matrix, a per channel response curve and per pixel luminance scale. This model requires measuring the chromaticity of each primary as well as its response curve and the luminance of each pixel.…”

The research of statistical properties of colorimetric features of screens with a three-component color formation principle

“…Developers of software for a color multi-function display units (MFDU) in avionics indication equipment have to solve the problem of the image color palette selection, which is displayed on the LCD (liquid crystal display), or LED (light emitting diode) screen panel [1][2][3]. The color palette selection involves the necessity to comply the requirements of the aviation industry technical documentation and the necessity to show to the observer the image with the optimal visual characteristics of perception.…”