Calibrated color mapping between LCD and CRT displays: A case study

Abstract

The primary goal of a color characterization model is to establish a mapping from digital input values d i (i ϭ R,G,B) to tristimulus values such as

End-user display calibration via support vector regression

“…Error is measured in ∆E94. The second column shows the linear model estimation based on the linear methods from [13], [14] and [15]. Table 3 shows that applying SVR is, roughly speaking, as accurate as the linear models for calibrating displays.…”

“…The error is measured in terms of the accuracy with which the models predict, for each input RGB, the CIELAB94 value displayed. A 3x3 matrix transformation was used for CRT and LCD displays based on [13] and [14]. The linear transformation is applied to linearized RGB values to predict tristimulus output.…”

“…al. [13], [14]. Another factor that was adjusted to improve accuracy of the data measurement is the spectroradiometer integration time, which represents the number of milliseconds that the spectroradiometer's shutter remains open.…”

“…Another factor that was adjusted to improve accuracy of the data measurement is the spectroradiometer integration time, which represents the number of milliseconds that the spectroradiometer's shutter remains open. This time was controlled automatically as a function of incoming signal from the display [14]. …”

“…For instance, the output of CRT and LCD displays can be predicted accurately using a linear transformation of linearized RGB values [13] [14]. DLP projectors on the other hand require a non-linear transformation [3] to a either a 4-dimensional or 7-dimensional interim space [15] from their linearized RGB values before a linear transformation is applied to the data in the new space.…”