Historically displays used three colorants in an additive system. During that time, the CIE chromaticity diagram adequately illustrated color capability. Modern displays are not constrained by this additive architecture, and the diagram can fail in its purpose. This is demonstrated by analysis and a large number of display measurements. A device‐independent methodology using CIE 1976 L*a*b* color gamut volume is described that provides a robust means to determine the size of the color gamut. This methodology is then extended to the ‘gamut rings’ diagram as a solution for visualizing color capability that directly correlates to color gamut volume. It is further shown how the methodology can be applied to determine the intersection between two gamut volume boundaries.
Abstract— A methodology and associated software modules for calibration, characterization, and profiling of color LCDs for color‐critical applications in medical imaging is described. Supporting analyses reveal very high color‐reproduction accuracy as determined by CIE DE2000 color differences for 21 0 test colors uniformly distributed in CIE Lab color space. The impact of the LCD tone‐reproduction curve on color‐reproduction accuracy is compared for two tone‐reproduction curves of special interest in medical imaging: the DICOM gray‐scale standard display function and the CIE L* standard lightness function. The initial results from a psychophysical investigation of the diagnostic performance of trained pathologists viewing “virtual” breast biopsy slides are reported and the diagnostic performance achieved with calibrated, color‐managed LCDs with uncalibrated LCDs without the benefits of color management is compared.
Although the CIE recommends using the 3D CIELAB color space to assess displays, a 3D CIELAB gamut plot can be difficult to calculate, render, and interpret. Here, a team of experts demonstrates why the gamut rings plot may be a better alternative.
A methodology and associated software modules for calibration, characterization and profiling of color LCDs for color-critical applications such as medical imaging is described. Supporting analyses reveal very high color reproduction accuracy as determined by CIE DE2000 color differences for 210 test colors uniformly distributed in CIE Lab color space.
A standard methodology exists for estimating the flux from front projection displays by sampling the projected illuminance of a white source signal. With the advent and use of white projection primaries, a dramatic increase in flux can be achieved over the combination of red, green, and blue primaries alone. However, when a white primary is used saturated-color areas in an image are constrained to low flux levels relative to the display maximum and further undergo a perceptual compression in relative lightness. As a result, bright saturated colors cannot be rendered accurately and the appearance of full-color imagery is distorted. The display of color-accurate imagery does not generally use the white primary due to these problems, and thus there is a need for providing an equivalent flux measurement that will better describe the performance of all projectors when rendering full-color imagery. Background research and a method utilizing the source-signal color primaries are described.
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