Effect of Peak Luminance on Perceptual Color Gamut Volume

Jiang, Fu; Fairchild, Mark D.; Masaoka, Kenichiro

doi:10.2352/issn.2169-2629.2020.28.3

Cited by 3 publications

(5 citation statements)

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“…Although a Euclidean color space that is uniform across the whole gamut might be hard to develop, a more uniform color space is potentially more meaningful for calculating the overall CGV size. Previous results between CIELAB and CIECAM02 had not found a significant difference (Jiang et al, 2020 ). Dimension independence, i.e., a lack of correlation between individual chroma and luma dimensions, is useful for determining the impact in each dimension.…”

Section: Discussionmentioning

confidence: 74%

“…Gamut and its utilization can affect image attributes in different dimensions. Previous work from Jiang et al ( 2020 ) asked observers to select “which image is more colorful and detailed.” Since we considered that detail level might be more related to quantization level (color depth) and how colorists take advantage of the gamut, brightness and colorfulness are preferred to gauge the upper boundary of a gamut. The color shifts between the displays simulated in this paper happened along both lightness and chroma axes in a correlated way (which can be observed from the symmetric relation shown in Figure 6 ).…”

Section: Gamut Calculation and Perceptual Evaluationmentioning

confidence: 99%

“…Therefore, it suffices to combine the two perceptual attributes to be judged together. Another difference in our experimental design from Jiang et al ( 2020 ) is that we adopted a side-by-side comparison instead of a temporally successive comparison. Their interest was the peak luminance level (adaptation independence), whereas our objective assumed a constant adaptation level.…”

Section: Gamut Calculation and Perceptual Evaluationmentioning

confidence: 99%

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Perceived Color Gamut in Images: From Boundary to Difference

2022

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A larger display color gamut volume (CGV) is expected to produce higher perceived brightness and colorfulness of the images displayed. However, display control algorithms such as gamut mapping and color conversion need to be carefully controlled to fully take advantage of the higher luminance and more saturated display primaries. Using RGBW displays (RGB plus a white channel) as a special case in contrast to RGB displays, it is demonstrated that a larger RGB display gamut enclosed by the boundary did not guarantee a larger color gamut perceived in images. Five gamuts with different white channel contributions were simulated, and seven different image contents were curated and rendered on each display. Using a paired comparison experiment with 33 observers, the perceived scales of color gamut as perceived brightness and colorfulness were derived. The results show more correlation with the image-wise than display-wise CGV and can be explained with image color differences. Our findings highlight the importance of considering image contents when optimizing display gamut volume, which can be guided by such image-wise analysis.

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Section: Discussionmentioning

confidence: 74%

Section: Gamut Calculation and Perceptual Evaluationmentioning

confidence: 99%

Section: Gamut Calculation and Perceptual Evaluationmentioning

confidence: 99%

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Perceived Color Gamut in Images: From Boundary to Difference

2022

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“…However, using CIELAB color gamut volume to represent the perceptual color capability of displays has several potential shortcomings as well. As the peak luminance of a display increases, so does its perceptual color gamut [5,6]. However, since the lightness dimension of CIELAB is relative to the reference white point of the display, CIELAB color gamut volume is invariant to display luminance.…”

Section: Background and Objectivementioning

confidence: 99%

“…However, since the lightness dimension of CIELAB is relative to the reference white point of the display, CIELAB color gamut volume is invariant to display luminance. Thus, it may be more appropriate to use a color appearance model that predicts (absolute) brightness instead of only (relative) lightness, such as CIECAM02 [7] or CAM16 [8], for quantifying the perceptual color capability of displays [5].…”

Section: Background and Objectivementioning

confidence: 99%

75‐1: Student Paper: Brightness and Vividness of High Dynamic Range Displayed Imagery

Hellwig

Stolitzka

et al. 2022

Symp Digest of Tech Papers

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Metrics that predict the perceptual brightness of displayed imagery are vitally important, especially as wide color gamut, high dynamic range displays become more widespread. We implemented a color appearance modeling pipeline derived from the iCAM image color appearance framework and CAM76 color appearance model that allows for the accurate prediction of color appearance attributes, such as brightness, colorfulness, and vividness, of high dynamic range displayed imagery. Building on previous work on the Perceptual Contrast Length metric, we propose an updated Color Perceptual Contrast Length that correlates well with subjective ratings of display brightness.

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Color gamut volume and the maximum number of mutually discernible colors based on a Riemannian metric

Visschere¹,

Neyts²

2023

Opt. Express

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For the calculation of the color gamut volume and the maximum number of mutually discernible colors, an algorithm based on a Riemannian metric and the densest packing of spheres is proposed. With this algorithm, the color gamut volume was calculated for the conditions of experiments reported in literature. Good agreement was found with the experimental findings of the color gamut volume as a function of the peak luminance. Using the new algorithm, the color gamut volume and the maximum number of mutually discernible colors was calculated for various sets of primary colors corresponding to display standards and various dynamic ranges. Comparisons were made with state-of-the-art methods which are based on the Euclidean metric in approximately uniform color spaces and a simple cubic lattice. It was found that the state-of-the-art methods underestimate the maximum number of mutually discernible colors. However, the relative differences decrease as the primary colors are more saturated. Based on the new algorithm the maximum number of mutually discernible colors was calculated for a range of peak retinal illuminance levels and various sets of primary colors. We found that, for a given set of primary colors, the maximum number of mutually discernible colors is proportional to the logarithm of the ratio of the peak retinal illuminance level and a fitting parameter.

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Effect of Peak Luminance on Perceptual Color Gamut Volume

Cited by 3 publications

References 0 publications

Perceived Color Gamut in Images: From Boundary to Difference

Perceived Color Gamut in Images: From Boundary to Difference

75‐1: Student Paper: Brightness and Vividness of High Dynamic Range Displayed Imagery

Color gamut volume and the maximum number of mutually discernible colors based on a Riemannian metric

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