Characterization of LCDs Using Partition Scaling and Unique Hue Methods

ABSTRACT This study investigates the feasibility of using psychophysical methods to establish a colorimetric characterization model for liquid crystal displays (LCDs) as a cost‐effective alternative to conventional instrument‐based measurements. A psychophysical experiment comprising partition scaling and unique hue judgment tasks was conducted to estimate the parameters of a gain‐offset‐gamma (GOG) model for an LCD, with 33 observers with normal color vision participating. Based on the experimental results, a visual‐assessment‐based GOG model (Visual GOG Model) was developed. Its performance was evaluated against two instrument‐based models: a Measured GOG Model serving as the reference and a Simplified GOG Model constructed using luminance measurements of the RGB channels only. Owing to its predictive performance being comparable to that of the Measured GOG Model, the framework of the Simplified GOG Model enabled the construction of the Visual GOG Model using luminance estimates derived from partition scaling results. The Visual GOG Model achieved satisfactory predictive accuracy, with a mean CIEDE2000 color difference of 1.55 across 24 test colors.