• 한국의류학회지
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• 제44권1호
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• pp.68-83
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• 2020

This study suggests a method to predict the color appearance of textiles that shifts depending on illumination variations. The suggested method allows the calculations of lightness, chroma, and hue appearance values from the spectral reflectance values of the textile and illuminant. The accuracy of the method was evaluated through numerical and statistical comparisons between the predicted and the measured color appearance values of 24 fabric samples under CIE standard illuminant D65. As a result, there were excellent agreements between the two data sets with the error values close to zero. The predicted color appearance values of 24 samples under two illuminating (color temperature-luminance) conditions, 2700 K-100 cd/㎡ and 6500 K-100 cd/㎡, were then compared to prove the significant effect of illumination on the color appearance of textiles. The color appearance values were also compared with spectrophotometrically measured physical color attributes, that is, true colors of the samples. The physical color attributes of samples were unchanged; however, differences in color appearance under different conditions were generally much larger than the suprathreshold color difference tolerances discussed in the color science literature. Finally, the magnitude of the illumination effect depending on the physical color attributes of samples was also analyzed.

• 조명전기설비학회논문지
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• 제25권2호
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• pp.43-52
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• 2011

LED lighting may cause different sensation and color appearance due to the different spectral power distributions compared to those of conventional lightings. Particularly, the CCT (Correlated Color Temperature) of LED lighting has a major effect on color appearance so that this study conducted an experiment through a subjective evaluation and luminance measurement for effective color appearance in a space. This study performed a subjective evaluation under the seven different LED CCT conditions, and color appearance was evaluated with major five colors in a customized lighting box. In addition, luminance measurement was conducted for each CCT and color condition to compare the results from a subjective evaluation. The results of this study may help to select a proper LED CCT for specific color conditions.

• 보존과학회지
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• 제38권2호
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• pp.154-165
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• 2022

문화유산의 현색(顯色)은 제작기법 해석, 보존처리 활용, 상태 모니터링의 중요한 기초 자료이다. 이 연구에서는 권응수 초상을 대상으로 디지털 색관리시스템 기반 색재현 과정을 체계적으로 정립하고, 문화유산 기록 및 보존에 적합한 현색 활용방안을 제안하였다. 전체적인 색재현 과정은 촬영 환경 세팅, 색기준차트 측정, 디지털 사진 촬영, 색보정, 색공간 설정 순으로 진행되었다. 연구 결과, 사진기 제조사 프로파일이 적용된 디지털 이미지는 현색과 비교하여 평균 𝜟10.1의 색차를 보인 반면, 디지털 색재현 이미지는 평균 𝜟1.1의 색차를 보여 현색과 거의 유사한 것을 알 수 있다. 이 결과는 디지털 사진 촬영 환경과 조건을 최적화했더라도 디지털 사진기 제조사의 보정 알고리즘에 의존할 경우 대상 문화유산의 현색 기록에 어려움이 있는 것을 의미한다. 따라서 문화유산은 RAW 이미지 기반의 색보정 및 색공간 설정을 통해 디지털 색재현이 필요하며, 이는 현색 기록화를 위해 매우 중요한 과정이다. 또한 디지털 색재현을 통한 현색 기록은 문화유산의 보존상태 평가와 보존처리 및 복원의 중요한 기초자료가 될 수 있으며, 퇴색 및 변색 현상의 모니터링을 위한 기준 데이터로 활용성이 높을 것으로 판단된다.

• 한국의류학회지
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• 제38권3호
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• pp.347-354
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• 2014

The color appearance of a yarn-dyed woven fabric depends on the color of the yarn as well as on the weave structure. Predicting the final color appearance or formulating the recipe is a difficult task, considering the interference of colored yarns and structure variations. In a modern fabric design process, the intended color appearance is attained through a digital color methodology based on numerous color data and color mixing recipes (i.e., color prediction models, accumulated in CAD systems). For successful color reproduction, accurate color prediction models should be devised and equipped for the systems. In this study, the final colors of yarn-dyed woven fabrics were predicted using six geometric-color mixing models (i.e., simple K/S model, log K/S model, D-G model, S-N model, modified S-N model, and W-O model). The color differences between the measured and the predicted colors were calculated to evaluate the accuracy of various color models used for different weave structures. The log K/S model, D-G model, and W-O model were found to be more accurate in color prediction of the woven fabrics used. Among these three models, the W-O model was found to be the best one as it gave the least color difference between the measured and the predicted colors.

• 한국생활과학회지
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• 제10권1호
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• pp.15-31
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• 2001

The main purpose of this study was to explore the development of knowledge about the appearance-reality distinction and the perspective-taking ability and to examine its relation. The subjects were 104 children, 13 boys and 13 girls each at the age of 3, 4, 5, and 6. The performance of four age groups were compared on illusion appearance-reality, color appearance-reality, perceptual perspective-taking, and cognitive perspective-taking tasks. The data were collected by individual testing and analyzed by the two-way ANOVA with repeated measures, one-way ANOVA and Pearson Correlation Coefficients. The major results were as follows. 1. In children's understanding of the appearance-reality distinction, significant differences were found between 3-year-olds and 4-year-olds, and 5-year-olds and 6-year-olds. While between 4-year-olds and 5-year-olds showed no such differences. Besides, gender did not affect the children's understanding of the appearance-reality distinction. 2. There was significant difference in performance according to the type of tasks. That is 3-year-olds perform better illusion appearance-reality distintion than color appearance- reality distintion, while 4, 5, 6 year old children's performance of color appearance-reality and illusion appearance-reality distinction showed no difference. 3. In children's ability of perceptual perspective-taking, significant difference was found between 3, 4, 5-year-olds and 6-year-old children. And in ability of cognitive and perspective-taking, significant difference was found between 3, 4-year-olds and 6-year-old children. Besides, gender did not affect the children's perceptual and cognitive perspective-taking. 4. The color appearance-reality distinction and perceptual perspective-taking showed significant correlation. That is, the children of high grade for perceptual perspective-taking were better understanding of color appearance-reality distinction.

• 한국멀티미디어학회논문지
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• 제18권3호
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• pp.349-358
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• 2015

Simulating color appearance of makeup effect is an important issue in computer graphics as well as cosmetic industry. Most of previous works on makeup simulation are simple color blending to mimic the cosmetic effects. Some of previous works employed Kubelka-Munk model to accurately simulate the layering effect of cosmetics. However, the simulation limited on single point, and the rest of area are still computed by simple color blending utilizing the color of the single point simulation. This paper presents an image-based method to compute the color appearance effect of makeup application using per-pixel Kubelka-Munk model. Unlike the previous methods, it is possible to compute per-pixel application thickness as well as optical property of cosmetics. The computed thickness pattern can be used in makeup simulation for a more realistic makeup simulation.

• 대한건축학회논문집:계획계
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• 제35권1호
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• pp.99-106
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• 2019

This study aims to recommend the proper Color rendering index (CRI), the Correlated Color Temperature (CCT), and illuminance levels of Light-Emitting Diode (LED) lighting based on the analysis of the criteria of the current CRI, the CCT, and illuminance levels in merchandising spaces with LED lighting conditions. It would be a basic material to apply in line with user preference for LED merchandising lighting. To this end, it examines relevant literature review on the experiments designed to test whether lighting characteristics affect brightness perception, color appearance, and pleasantness. Highly saturated colors appear brighter than low saturated colors. Two lighting applications - grocery and clothing shop - were created in elaborating the effect of LED lighting characteristics of CRI on color appearance and the CCT and illuminance on pleasantness. The findings show that the criteria of CIE Ra<80 are appropriate to provide better color appearance of illuminated products in terms of LED lighting that can enhance color saturation, particularly for the red color. Furthermore, 2700 K and less than 500 lux for grocery, 4000 K and more than 500 lux for clothing shop are found to be the proper the CCT and illuminance levels respectively to bring better preference under LED lighting.

• 동아시아식생활학회지
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• 제7권1호
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• pp.12-135
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• 1997

Color(and appearance)is one of the most important visual attributes in food. The favorite color of food is depend on the nation and its culture. Unfortunately the word on color ash superseded appearance as the description of the total visual perception of food. The optical properties are color, gloss, translucency, the uniformity of these attributes over the surface of the product, and the appearance boundary condition visual flavor. The major purpose of this lecture is to stress the importance of color and gloss on the basis of sensory evaluation for vegetables and these cooking process. These points are as follows: 1. Color and palatability Principle of cooking ; five tastes and five colors 2. Pigments and colorimeter Plant pigments ; Chlorophyll, Carotinoid, Anthocyan Optical properties and colorimeter Correlating instrumental and pigments data 3. Color, gloss of vegetables Effect of color and gloss on several cooking treatments 4. The importance of color of foods to the food industry and consumer

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.1154-1157
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• 2009

This template provides you with an example of the The CIE Color Appearance Model (CIECAM02) is now widely used for various digital imaging systems including digital displays. The CIECAM02 were intended to be an empirical model, however, some aspects of the model are closely related to the human color vision mechanism. This paper will discuss the relationship between human color vision and color imaging.

• 조명전기설비학회논문지
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• 제25권1호
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• pp.18-29
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• 2011

Light emitting diode(LED) technology has been increasingly developed and larger color gamut by LED illuminations can be reproduced; therefore more efficient LED lighting design can be accomplished under a consideration of color emotion. Fifty-two LED colors which are uniformly distributed on the uniform chromaticity space are evaluated in terms of fatigueness and preference and their relation to three color-appearance attributes(lightness, chroma and hue) are investigated. As a result, 23 human observers likely to prefer and feel comfortable, when lightness of a given LED color stimulus increases as well as its chroma decreases. The highest fatigueness score is observed in red color series and the most preferred LED color is found in green color series. In addition, fatigueness and preference show a strong negative linear relation and their Pearson correlation is higher than -0.8.