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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
Summary
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.
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.
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