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Perceived Color Gamut in Images: From Boundary to Difference.

Hao Xie1, Robert Wanat2, Mark D Fairchild1

  • 1Program of Color Science, Munsell Color Science Laboratory, Rochester Institute of Technology, Rochester, NY, United States.

Frontiers in Neuroscience
|June 27, 2022
PubMed
Summary
This summary is machine-generated.

A larger display color gamut volume doesn't always mean brighter, more colorful images. Image content is crucial for optimizing perceived color gamut, impacting visual experience.

Keywords:
color gamut volumedisplay primariesgamut boundaryimage color differenceimage quality

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Area of Science:

  • Display technology and image quality assessment.
  • Color science and human visual perception.

Background:

  • Larger display color gamut volume (CGV) theoretically enhances perceived brightness and colorfulness.
  • Effective display control algorithms are necessary to leverage increased luminance and saturated primaries.
  • RGBW displays present a unique case compared to standard RGB displays.

Purpose of the Study:

  • To investigate if a larger display gamut volume guarantees enhanced perceived image color gamut.
  • To evaluate the impact of white channel contribution in RGBW displays on perceived color.
  • To determine the correlation between display-wise and image-wise color gamut metrics and perceived image quality.

Main Methods:

  • Simulated five gamuts with varying white channel contributions.
  • Curated and rendered seven diverse image contents on each simulated display.
  • Conducted a paired comparison experiment with 33 observers to derive perceived scales of color gamut, brightness, and colorfulness.

Main Results:

  • A larger display gamut boundary did not consistently result in a larger perceived color gamut.
  • Perceived color gamut showed a stronger correlation with image-wise CGV than display-wise CGV.
  • Image color differences were key in explaining the observed perceptual results.

Conclusions:

  • Optimizing display gamut volume requires careful consideration of image content.
  • Image-wise analysis provides a valuable approach for guiding display gamut optimization.
  • Future display control algorithms should incorporate image-specific characteristics for improved visual fidelity.