Preferred skin tones on mobile displays under illuminants having different correlated colour temperatures

Cao, Mingkai; Luo, M. Ronnier

doi:10.1016/j.visres.2022.108060

Cited by 3 publications

(4 citation statements)

References 26 publications

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“…Skin tones are also important memory colours, these were excluded because they were previously studied by the authors. 23,24 The 24 objects studied in the present experiment were selected partially from the familiar objects studied by other researchers. 7,[19][20][21][22] So, the present results can be compared with theirs.…”

Section: Memory Objects Selectionmentioning

confidence: 99%

“…Firstly, the desired object (strawberry) was separated from the other colour such as leaves. Subsequently, the strawberry colour was altered F I G U R E 2 Images used in the experiment, (1-18) captured objects images, (19)(20)(21)(22)(23)(24) images selected from the internet. The labels in all figures in this article after are correspond to the image labels here F I G U R E 3 Segmentation and colour adjustment process of memory colour image but the leave colour and texture were unchanged.…”

Section: Image Renderingmentioning

confidence: 99%

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A study of preferred and natural memory colours across different ethnic groups

Cao

Luo

et al. 2023

Color Research & Application

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A psychophysical experiment was carried out to specify the preferred and natural memory colours corresponding to 24 familiar objects on mobile displays. These objects were selected to cover a large colour gamut in CIELAB space. One hundred and six observers from five different ethnic groups participated.Forty-nine colours for each object were rendered three-dimensionally to cover a large colour range. The results showed inter-observer variations are small between different ethnic groups, about 1.4 and 1.3 CIEDE2000 colour difference units for naturalness and preference, respectively. Comparing the preference and the naturalness colour centres, the preferred colours are brighter and more colourful than naturalness colours, by 1 and 2 units in L* and C* ab attributes, respectively. Both sets of data show a great hue consistency. The results showed that different ethnic groups agreed well on the objects studied. It was found that the best-agreed objects are strawberry, green apple, tomato, corn and purple grape, and the worst-agreed objects are blueberry, broccoli, smurf, green pepper and blue sky.

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Section: Memory Objects Selectionmentioning

confidence: 99%

Section: Image Renderingmentioning

confidence: 99%

A study of preferred and natural memory colours across different ethnic groups

Cao

Luo

et al. 2023

Color Research & Application

Self Cite

View full text Add to dashboard Cite

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“…Equation 1 and 2 are skin color ellipsoid equation in PMCC (prefer memory color chart) [13][14][15].…”

Section: Facial Skin Pixel Segmentationmentioning

confidence: 99%

“…As is mentioned above, it's known that for a specific ethnicity, the position and parameters of the skin color ellipsoid in the CIELAB color space is determined [12], and this skin color ellipsoid (50% acceptance ellipsoid in PMCC) [14] can be considered as a standard three-dimensional skin color gamut. Which means when capturing an image containing skin color, regardless of the lighting conditions during the photo capture, as long as the correct reference white point was chosen during the conversion process from XYZ to LAB, the result Lab value of skin color should fall within this standard skin color gamut.…”

Section: Illumination Estimationmentioning

confidence: 99%

Improve Image White Balance by Facial Skin Color

Wang,

Zhu,

Liu

et al. 2023

cic

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In area of white balance, the process of large colored background images seems to be a problem. Regarding this issue, a white balance algorithm based on facial skin color was proposed. A neural network-based object detection algorithm and an adaptive threshold segmentation algorithm were combined to achieve the accurate segmentation of skin color pixels. Then a 3dimension color gamut mapping method in CIELAB color space was used to do the illumination estimation. Last, CAT16 model was applied to rendering the images to standard lighting condition. Besides, an ill white balanced images dataset taken against large colored backgrounds were prepared to test the present algorithm and others' performance. The results show the proposed algorithm performs better on the dataset.

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The new preferred memory color (PMC) chart

Luo

2024

Color Research & Application

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A color rendition chart, the preferred memory color (PMC) chart, has been produced. It comprises 30 colored patches, divided into three groups: preferred memory colors, reference color‐gamut colors, and a gray scale. The main purpose of the new chart is to enable users to produce satisfactory preferred color reproduction using digital cameras, displays, and printing systems. The methods used to develop the various colors, and the color specification of each color are presented. Finally, several potential applications of the chart for the characterization of imaging devices, for the evaluation of image color quality, and for the calculation of color rendering indices for lighting are suggested.

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Preferred skin tones on mobile displays under illuminants having different correlated colour temperatures

Cited by 3 publications

References 26 publications

A study of preferred and natural memory colours across different ethnic groups

A study of preferred and natural memory colours across different ethnic groups

Improve Image White Balance by Facial Skin Color

The new preferred memory color (PMC) chart

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