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A psychophysical experiment was conducted to investigate preferred skin tones of 4 skin types under 5 illuminants varying in correlated colour temperatures. The experiments were performed on calibrated mobile display devices. Four facial skin tone images representing each skin type were captured and were rendered to 25 skin tone images to cover a large colour region. The facial skin tone images were assessed by a panel of 28 Chinese observers using an alternative forced choice psychophysical method. The ellipses based on observer preference rate were derived, and the preferred skin tone centres and 50% tolerance ellipse of different skin types under each test illuminants were obtained. According to the colour appearance shift of preferred skin tones under illuminants with varying CCTs, all data were transformed and compared in the a*b* plane under D65 and CIE 1931 Standard Colorimetric Observer condition. The results on the impact of illuminants on preferred skin tones were reported here. All types of skin tones had a good agreement under different illuminants., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

The observed color of an object is influenced by the spectral distribution of an illuminant impinging upon it. Here we explored a method to obtain optimal illumination spectra for local contrast enhancement based on human vision. First, multispectral imaging was used to measure the spectral reflectance of the sample and color segmentation was used to extract its color features. Then we obtained the target-specific optimal illumination by maximizing the color differences of mutual colors in our sample tissue. To verify the effectiveness of this method, simulated images under the optimized illumination were compared to illumination with the standard illuminant D65 and a cool white light-emitting diode (5500 K). Results showed that the sample under the optimized illumination had a better perceptual color contrast.

Chromatic adaptation is an important visual phenomenon that specifically influences color appearance under various illumination conditions. There were extensive studies investigating the impact of the illumination condition and the surrounding condition on chromatic adaptation. However, past studies hardly consider the properties of the stimulus object such as color, size, dimensions, etc. In this study, the impact of the size and dimensionality of the stimulus (target object) on the degree of adaptation was investigated. A series of achromatic matching experiments were conducted in a lighting booth, with the adapting field varying in chromaticity and the object varying in size and dimensionality, to collect corresponding color data. Results indicate that the properties of the stimulus, such as the dimensionality and size, can significantly influence the adaptation state, independent of illumination chromaticity. But to apply the results in the real application may be restricted to the specific setup (used in this study) with a separately illuminated stimulus, which needs further investigation. [ABSTRACT FROM AUTHOR]

Abstract: Color‐appearance models, CIECAM02 and CAM16, usually include two one‐step chromatic adaptation transforms: a forward (one‐step) transform to convert data from a first illuminant to CIE illuminant E, plus a reverse (one‐step) transform to convert the results from CIE illuminant E to a second illuminant. In practice, however, one‐step chromatic adaptation models, that avoid the use of the intermediate CIE illuminant E, are also employed. Tests using the one‐step CAT16 model indicate failures of both the symmetry and transitivity properties, except in the case where the degree of adaptation D is equal to unity. The magnitude of these failures depends on the specific illuminants selected, and increases as the degree of adaptation decreases. From four possible two‐step CAT16 models, we have identified two that obey the symmetry and transitivity properties, one with slightly better predictions of the experimental corresponding‐color datasets available in the literature, and more consistent with the one‐step CAT16 model. The findings of this article confirm that, for incomplete adaptation, the use of the one‐step CAT is incorrect, and we propose that the use of a two‐step CAT16 model be mandatory for future applications. [ABSTRACT FROM AUTHOR]

This paper aims to successfully reproduce a real lighting environment onto a display. The CIE recommended colour appearance model CIECAM02 was used as the core of the whole system. Two experiments were conducted: to verify the surround parameters in CIECAM02 and to establish the relationship between different illuminances between two viewing fields. [ABSTRACT FROM AUTHOR]

Small displays are widely used; they are small enough to be carried around and are often viewed under extreme surround conditions. Under bright illumination, mobile display users experience 'veiling glare' caused by bright ambient lighting. A refined version of CIECAM02 called 'Refined CIECAM02 and original CIECAM02' were tested to predict visual results in terms of lightness (J), colourfulness (M), and brightness (Q) on a 2-inch sized display (2″) mobile phone under four surround conditions; dark (0 cd/m2), dim (5 cd/m2), average (1000 cd/m2), and bright (10,000 cd/m2). Other than the two versions of CIECAM02 using the original data, a correction to the models' predicted lightness J and a black correction to the original data were developed. Overall, the refined CIECAM02 plus the J correction performed the best for predicting the lightness, brightness and colourfulness under all the viewing conditions, especially for bright surround condition. Furthermore, another experiment was carried out using complex images to verify different versions of CIECAM02. The images were reproduced using JMh (lightness, colourfulness, and hue) spaces from the modified CIECAM02 versions. The experiment was conducted by comparing original images viewed under dim, average, or bright surround conditions and the predicted images were viewed under dark surround condition on two identical mobile displays. The different versions of the CIECAM02 showed similar results to each other for dim and average surround conditions but large differences when predicting the images under bright surround condition. The refined CIECAM02 with the J′ formula performed the best amongst all four CIECAM02 versions. © 2011 Wiley Periodicals, Inc. Col Res Appl, 2013. [ABSTRACT FROM AUTHOR]

A method was explored to optimize the illumination spectrum for surgical lighting. The method simultaneously enhances the color contrast of biological tissue and the color rendering index (CRI) of the light source. Compared to conventional surgical lighting (i.e. based on halogen light sources), the optimized illumination has better color contrast and sufficiently high color rendering, i.e. both CIE Ra and R9 values are above 85. [ABSTRACT FROM AUTHOR]