Unique hue data for colour appearance models. Part II: Chromatic adaptation transform

Xiao, Kaida; Fu, Chenyang; Mylonas, Dimitris; Karatzas, Dìmosthenis; Wuerger, Sophie

doi:10.1002/col.20725

Cited by 13 publications

(9 citation statements)

References 14 publications

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“…Table 4 summarizes the intra-and inter-observer variations variations, as characterized using the hue angle, for each unique hue. It can be observed that the inter-observer variations were generally twice of the intra-observer variations irrespective the unique hues, which was similar to the findings of Xiao et al 2,16 The inter-observer variations of unique red and blue were larger under the sources with a larger D uv (i.e., chromaticities further away from the blackbody locus), especially under the 2700 K sources. No systematic changes were found to the other unique hues.…”

Section: Intra-and Inter-observer Variationssupporting

confidence: 87%

Unique hue judgments using saturated and desaturated Munsell samples under different light sources

Huang

Mao

Xiao

et al. 2018

Color Research & Application

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Past studies investigating the unique hues only used samples with a relatively high saturation levels under standard illuminants. In this study, 10 observers selected the four samples with unique hues from 40 V6C8 (Value 6 Chroma 8) and 40 V8C4 (Value 8 Chroma 4) Munsell samples under six light sources, comprising three levels of Duv (i.e., 0, −0.02, and −0.04) and two levels of correlated color temperature (i.e., 2700 and 3500 K). Significant differences were found between the two chroma levels for unique blue and yellow, with the hue angles of unique yellow and blue judged using the desaturated samples being significantly different from those defined in CIECAM02. The iso‐lines of unique yellow, blue, and green did not always go through the origin of the a*‐b* or a′‐b′ planes in CIELAB and CAM02‐UCS. Thus, the problems of CIECAM02, CIELAB, and CAM02‐UCS identified in this study need further investigations.

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Section: Intra-and Inter-observer Variationssupporting

confidence: 87%

Unique hue judgments using saturated and desaturated Munsell samples under different light sources

Huang

Mao

Xiao

et al. 2018

Color Research & Application

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“…In our previously published experiments, 36 coloured stimuli were displayed on a calibrated cathode ray tube (CRT) display and, using a hue‐selection task, the unique hue loci were determined by 185 observers, each with three replications for each of the 36 stimuli (3 saturations × 3 lightness levels × 4 hues). Each unique hue setting was recorded as CIE XYZ tristimulus values and then transformed using the CIECAM02 colour appearance model.…”

Section: Introductionmentioning

confidence: 99%

Unique hue data for colour appearance models. Part III: Comparison with NCS unique hues

Xiao

Pointer

Cui

et al. 2014

Color Research & Application

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In this study, Swedish Natural Color System (NCS) unique hue data were used to evaluate the performance of unique hue predictions by the CIECAM02 colour appearance model. The colour appearance of 108 NCS unique hue stimuli was predicted using CIECAM02, and their distributions were represented in a CIECAM02 ac–bc chromatic diagram. The best‐fitting line for each of the four unique hues was found using orthogonal distance regression in the ac–bc chromatic diagram. Comparison of these predicted unique hue lines (based on the NCS data) with the default unique hue loci in CIECAM02 showed that there were significant differences in both unique yellow (UY) and unique blue (UB). The same tendency was found for hue uniformity: hue uniformity is worse for UY and UB stimuli in comparison with unique red (UR) and unique green (UG). A comparison between NCS unique hue stimuli and another set of unique hue stimuli (obtained on a calibrated cathode ray tube) was conducted in CIECAM02 to investigate possible media differences that might affect unique hue predictions. Data for UY and UB are in very good agreement; largest deviations were found for UR. © 2014 Wiley Periodicals, Inc. Col Res Appl, 40, 256–263, 2015

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“…Besides, the studies demonstrated that cultural context and psychological aspects too have signiicant inluence on the perception of colour [23,26]. As a result, the application of colourimetry started to spread in diferent areas and many researches experimented various inluences and conditions on colour perception [27][28][29], including the studies of the colour appearance models [30].…”

Section: Computer Simulationmentioning

confidence: 99%

Rendering Techniques in 3D Computer Graphics Based on Changes in the Brightness of the Object Background

Bratuž¹,

Tomc²,

Javoršek³

2017

Computer Simulation

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Maintaining accurate colour constancy and constant colour appearance are only a few challenges one must conquer in a modern day digital three-dimensional (3D) production. Many diferent factors inluence the reproduction of colour in 3D rendering and one of the most important is certainly rendering engines. In our research, we have studied rendering of colours with three rendering engines (Blender Render, Cycles and Yafaray) of an open source 3D creation suite based on changes in the brightness of the object background from 20 to 80%. In one of these cases, colour of the object was adapted to the lighter background using the colour appearance model CIECAM02. With the analysis of colour diferences, lightness and chroma between colours rendered using diferent rendering engines; we found out that rendering engines diferently interpret colour, although the RGB values of colours and scene parameters were the same. Diferences were particularly evident when rendering engine Cycles was used. However, Cycles also takes into account the object background. Numerical results of such research provide indings, which relate to the respective environment, and also these certainly demonstrate the successful implementation of the colour appearance model CIECAM02 in the 3D technologies and, in our opinion to other software packages for 3D computer graphics.

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Unique hue data for colour appearance models. Part II: Chromatic adaptation transform

Cited by 13 publications

References 14 publications

Unique hue judgments using saturated and desaturated Munsell samples under different light sources

Unique hue judgments using saturated and desaturated Munsell samples under different light sources

Unique hue data for colour appearance models. Part III: Comparison with NCS unique hues

Rendering Techniques in 3D Computer Graphics Based on Changes in the Brightness of the Object Background

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