Assessing Color Discernibility in HDR Imaging using Adaptation Hulls

Kunkel, Timo; Wanat, Robert; Pytlarz, Jaclyn; Pieri, Elizabeth; Atkins, Robin; Daly, Scott

doi:10.2352/issn.2169-2629.2018.26.336

Cited by 8 publications

(11 citation statements)

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“…Therefore, volumetry in the IC t C p space is not meaningful in terms of color appearance. Moreover, volumetry requires static test images, whereas the IC t C p was not intended for steady‐state scenarios …”

Section: Discussionmentioning

confidence: 99%

“…Moreover, volumetry requires static test images, whereas the IC t C p was not intended for steady-state scenarios. 43 Unfortunately, no color appearance models are standardized for the HDR displays. However, limited experiments indicate that CIELAB remains approximately perceptually uniform above diffuse white up to an L* of approximately 200.…”

Section: Hdr and Sdrmentioning

confidence: 99%

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Analysis of color volume of multi‐chromatic displays using gamut rings

Masaoka¹,

Jiang

Fairchild

et al. 2019

J Soc Info Display

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There are claims that multi‐chromatic displays can achieve a wider color gamut by the use of additional highly saturated secondary color channels. However, there are other claims that these displays lose lightness and/or color saturation at brighter levels. These apparently divergent views have led to some controversy in the display industry and at standard setting organizations. This study examines the color gamut volume for a variety of simulated and measured multi‐chromatic (sometimes incorrectly referred to as “multi‐primary”) displays using combinations of white and/or secondary color channels, such as cyan, magenta, and yellow. Furthermore, a two‐dimensional gamut representation, referred to as “gamut rings,” is introduced to illustrate that the addition of nonprimary optical color channels to a trichromatic (RGB) display can result in a significant decrease in the chroma at higher lightness levels. The additional saturated color channels can increase the gamut volume only around their hues at darker levels. The results also confirm the validity of comparing the color light output and white light output for revealing the design trade‐offs between the high‐peak white and the color‐image brightness for multi‐chromatic displays.

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Section: Discussionmentioning

confidence: 99%

Section: Hdr and Sdrmentioning

confidence: 99%

Analysis of color volume of multi‐chromatic displays using gamut rings

Masaoka¹,

Jiang

Fairchild

et al. 2019

J Soc Info Display

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“…It has a built in critical state adaptation assumption, that is, a state where the best visual performance will be achieved. 47 This metric is standardized in ITU-R BT.2124, 25 is based on the IC T C P color space, and has been shown to work well for predicting HDR color differences using test patches 24 under rigorous 4AFC threshold test conditions. 48,49 The IC T C P color space applies the PQ (SMPTE ST 2084) transfer function to the LMS cone signal.…”

Section: δE Itpmentioning

confidence: 99%

Image quality evaluation for high dynamic range and wide color gamut applications using visual spatial processing of color differences

Choudhury

Wanat

Pytlarz

et al. 2020

Color Research & Application

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High dynamic range (HDR) and wide color gamut imagery has an established video ecosystem, spanning image capture to encoding and display. This drives the need for evaluating how image quality is affected by the multitudes of ecosystem parameters. The simplest quality metrics evaluate color differences on a pixel-bypixel basis. In this article, we evaluate a series of these color difference metrics on four HDR and three standard dynamic range publicly available distortion databases consisting of natural images and subjective scores. We compare the performance of the well-established CIE L*a*b* metrics (ΔE 00 , ΔE 94) alongside two HDR-specific metrics (ΔE Z [J z a z b z ], ΔE ITP [IC T C P ]) and a spatial CIE L*a*b* extension (ΔE S 00). We also present a novel spatial extension to ΔE ITP derived by optimizing the opponent color contrast sensitivity functions. We observe that this advanced metric, ΔE SC ITP , outperforms the other color difference metrics, and we quantify the improved performance with the steps of metric advancement.

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“…Further, there might be multiple viewers, each individually adapted to the content presented to them on a display. Another factor to consider is that the screen size or viewing distance to the display varies amongst use cases and, as a result, the influence of the area surrounding a display has an impact on adaptation 10 …”

Section: What Do We Strive For With Hdr Imaging?mentioning

confidence: 99%

“…If used with an efficient color volume metric, this allows for an efficient comparison of the capabilities of displays. 4, 10 …”

Section: Colormentioning

confidence: 99%