Modelling brightness perception for high dynamic range television

Noland, Katy C.; Pindoria, Manish; Cotton, Andrew S.

doi:10.1109/qomex.2017.7965633

Cited by 11 publications

(6 citation statements)

References 7 publications

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“…In this work, we use a single filter after the cone nonlinearity, which would classify it as “neural CSF.” There has been much interesting work on “sandwich nonlinearity models” as needed to more carefully model visual perception 72‐74 . This issue is possibly relevant to the non‐constant luminance problem of SDR video, as well as modeling overall perceived brightness of complex imagery 75 . It may be that very specific imagery and distortions not common to these datasets is needed for fully understanding this issue.…”

Section: Resultsmentioning

confidence: 99%

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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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Section: Resultsmentioning

confidence: 99%

“…[72][73][74] This issue is possibly relevant to the non-constant luminance problem of SDR video, as well as modeling overall perceived brightness of complex imagery. 75 It may be that very specific imagery and distortions not common to these datasets is needed for fully understanding this issue.…”

Section: Discussionmentioning

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

View full text Add to dashboard Cite

show abstract

“…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%

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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“…Bist et al indicated that brightness preference was highly content-dependent, particularly, on the number of bright pixels in the content [26]. Noland et al attempted to derive the perceptive brightness of HDR images from the pixel values and showed that the most effective metrics tested were the mean of the pixel luminance values [27]. To the best of our knowledge, the relationship between the dynamic range and the various impressions has not been quantitatively investigated.…”

Section: Related Workmentioning

confidence: 99%

Quality of 8K Ultra-High-Definition Television Viewing Experience in Practical Viewing Conditions

Shishikui

Sawahata

2022

IEEE Trans. on Broadcast.

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In this study, we examine the psychological effects of 8K ultra-high-definition television (UHDTV) under daily TV viewing conditions. The design of 8K-UHDTV targets the realization of the "ultimate 2D image." 8K-UHDTV is already being used practically and the audience have reported experiencing a feeling of reality and presence. However, the benefits offered by 8K for daily TV viewing and the degree to which the design goals have been achieved have not been sufficiently verified. Hence, in this study, we verify them by investigating the popular impressions evoked by familiar images and their modulation with the viewing distance through subjective evaluation experiments and statistical analysis. The obtained results indicate that the impressions are enhanced by increasing the resolution from 4K to 8K, even at viewing distances beyond the design viewing distance, which are conventionally considered less effective. Thus, they confirm that 8K provides strong impressions over a wide viewing range. Furthermore, the relationship between higher-order impressions, such as "being-there" and "reality," and lower-order impressions is derived through multiple regression analysis. This provides insight into the enhancement of higher-order impressions in production and post-processing.

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Modelling brightness perception for high dynamic range television

Cited by 11 publications

References 7 publications

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

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

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

Quality of 8K Ultra-High-Definition Television Viewing Experience in Practical Viewing Conditions

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