• 한국재료학회지
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• 제15권4호
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• pp.252-256
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• 2005

We removed the bluish of the natural ruby successfully by vacuum annealing, and measured the color evolution with annealing time and temperature. We varied the anneal temperature and time $800\~1500^{\circ}C$ and $3\~26$ hrs, respectively. The color evolution of rubies with annealing condition was recorded by a digital camera and a color coordination visible spectrometer. We determined the optimum bluish eliminating annealing condition was $1500^{\circ}C-3hr$, which conserving the natural inclusions. We suggest the bluish shrink with diffusion coefficient of $D=(5\times10^{-3}){\exp}(-200.000/RT)[cm^2/s]$. We propose the color of ruby may be determined as the identical red color if the color difference between two samples are less than 1.0, and the color difference nay be an auxiliary standard to evaluate the color of rubies.

• International Journal of Costume and Fashion
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• 제8권2호
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• pp.50-64
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• 2008

The purpose of this study is to classify Avatar fashion style through analysis of on-line Avatar Mall and to propose color pallette and fashion contents from fashion color analysis. The literature research focused on investigating the notion, characters and types of Avatar and relation of Avatar and self-image, clothing image and color image. In data research, 4 on-line portal sites Avatar Malls were analyzed and Avatar fashion style was classified. In addition, Avatar clothing color was analyzed. The research of this study are as follows: Firstly, Avatar in the cyber space represents 'me' of the real states. Avatar fashion helps to represent Avatar Image and clothing makes human image and identity as a social sign. Color helps to constitute clothing impression and human image, therefore clothing and color are the important elements to express self-image through Avatar in the cyber space. Secondly, Avatar Malls of 4 on-line portal sites are very similar and confuse Avatar users because of no standard of fashion style classification. Accordingly, the standard of fashion style classification should be made by a fashion expert, and the specific characters of every on-line portal site should be emphasized. Thirdly, as a result of the analysis of Avatar's clothing, the clothing is divided into a real world clothing and an imaginary world clothing. There are daily clothes, uniform, event clothes, story clothes and fantasy clothes. As a result of the color analysis of Avatar clothing, White, Red, Red Purple colors and bright and vivid tone are generally used for Avatar clothing. This study is significant to classify Avatar fashion style systematically, to notify sensitive and delicate users' sign and to make Avatar fashion image emotional and high-quality.

• 조명전기설비학회논문지
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• 제13권4호
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• pp.7-13
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• 1999

본 연구는 의복디자인에 있어 색채적용에 도움이 되는 자료를 얻고자 1차색의 지각범위에 대하여 여대생 29명을 대상으로 실험을 하였다. 실험기간은 1998년 7월∼10월이다. 그 결과는 다음과 같다. 1) 30[%] 이상의 피험자가 지각한 지각범위 형태는 빨강에 대해서는 표준색 5R 4/14를 중심으로 5R 4/12, 5R 4/10, 5R 5/14로 명도축보다 채도축의 범위가 더 넓다. 노랑의 지각범위 형태는 표준색 5Y 8/14를 중심으로 채도축의 범위가 더 넓다. 파랑의 지각범위 형태는 표준색 5B 4/10을 중심으로 명도 축의 범위가 넓다. 2) 색도도에서 보면 1명 이상의 지각범위는 빨강은 전체 범위의 3/4에 걸쳐 넓게 분포하며, x축 선상으로 쭉 뻗어 있다. 노랑은 전체의 약 1/2에 걸쳐 분포하고 있으며, 전체가 연결되어 있지 않고 소수가 분리된 형태를 가진다. 파랑은 전체의 약 2/3에 걸쳐 분포하고 있으며, 그 선 상으로 늘어진 모든 색표가 포함되어 있다. 결론적으로 빨강의 지각범위는 상당히 넓게 분포되어 있으며, 피험자간의 공통성은 비교적 높으며, 노랑의 지각범위는 중간정도의 범위에 분포되어 있으며 피험자간의 공통성은 낮다. 또한 파랑의 지가범위는 약간 넓은 범위에 분포되어 있으며 피험자간의 공통성은 높다고 말할 수 있다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2002년도 춘계학술대회 논문집
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• pp.261-265
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• 2002

The unique colors of paper, that is, blue, green, red, and yellow were used in the estimation of color from the subjective feeling. The monochrome with unique color or the unique color surrounded with the background color was presented. Subject gazed the monochrome or the unique color, which was called target color. The target and background color were the complementary color each other. The various ratios of the area of gazed color and background were taken. Subject answered the level of subjective feeling consisted of pair of adjective items for unique color presented. With the use of the subjective feeling fer the target color presented, the estimation of the unique color was carried out due to Fuzzy theory and neural networks. The results of color difference between unique color presented and the estimated color gave very small value for the case without background, while the results of the case with background color depended on the ratio of area of presented color and background color till the ration of 2:1, The relation showed the Kirschman's law. The color difference saturated in the increase of area of background with the ratio more than 2:1.

• 한국염색가공학회지
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• 제18권5호
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• pp.72-79
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• 2006

There are many discrepancies between visually perceived color-difference and that which is quantified from an instrumental measurement when dark color samples are measured in the textile industry. The samples were prepared to represent these dark shades and the values of the instrumental results from conventional color-difference formulae(CIELAB, CMC, BFD II, CIE94, LCD99 and CIEDE2000). Those of visual assessment were compared. The experimental results show that the CIELAB formula gives the best performance over other formulae, and the CIEDE2000 formula for the color-difference according to chroma presents the worst performance. Therefore, we can say that the problems in color matching of dark shades are caused by imperfect formula, because the results obtained from a color-difference formulae are different and the CMC which is used as a standard color-difference formula in the textile industry is not correct. So, a revised color-difference formula is proposed in this study, to account for these problems.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.245-248
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• 2003

This parer proposes the six color separation using th color difference and granularity. Conventional method using the color difference increases the graininess in the bright region due to the usage of the cyan or magenta. To reduce the graininess in the bright region, we proposed the six color separation minimizing the graininess within the tolerance of the co]or difference. Initially, granularity is calculated based on the standard deviation of the lightness value and chrominance of the SCIELAB space and is applied to the six color separation using the color difference. Proposed six color separation using the color difference and granularity reduces the graininess in the bright region and obtains the smooth tone.

• 한국정밀공학회지
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• 제20권8호
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• pp.70-75
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• 2003

It is very important to inspect the color of printed texture in the textile process. The standard colorimetric system used for the recognition of the color in the textile industry. It uses XYZ color system defined by CIE (Commission Internationale de 1Eclairage), but is too expensive. Therefore, in this paper, we propose a color inspection system of the printed texture using a color scanner. Because the scanner uses RGB value for color, it is necessary the mapping from RGB to XYZ. However, the mapping is not simple, and the scanner has even positional deviation because of the geometric characteristics. To transform from RGB to XYZ, we used a NN (neural network) model and also compensated the positional deviation. In real experiments, we could get fairly exact XYZ value from the proposed color inspection system in spite of using a color scanner with large measuring area.

• Journal of Semiconductor Engineering
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• 제2권1호
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• pp.125-129
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• 2021

As the interest of deep learning, techniques to control the color of images in image processing field are evolving together. However, there is no clear standard for color, and it is not easy to find a way to represent only the color itself like the color-palette. In this paper, we propose a novel color palette extraction system by chroma fine-tuning with reinforcement learning. It helps to recognize the color combination to represent an input image. First, we use RGBY images to create feature maps by transferring the backbone network with well-trained model-weight which is verified at super resolution convolutional neural networks. Second, feature maps are trained to 3 fully connected layers for the color-palette generation with a generative adversarial network (GAN). Third, we use the reinforcement learning method which only changes chroma information of the GAN-output by slightly moving each Y component of YCbCr color gamut of pixel values up and down. The proposed method outperforms existing color palette extraction methods as given the accuracy of 0.9140.

• 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.

• 감성과학
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• 제5권2호
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• pp.73-78
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• 2002

The unique colors of paper, that is, blue, green, red, and yellow were used in the estimation of color from the subjective feeling. The monochrome with unique color or the unique color surrounded with the background color was presented. subject gazed the monochrome or the unique color, which was tailed target rotor. The target and background color were the complementary color each other. The various ratios of the area of gazed color and background were taken. Subject answered the level of subjective feeling consisted of pair of adjective items for unique color presented. With the use of the subjective feeling for the target color presented, the estimation of the unique color was cai\ulcornerlied out due to Fuzzy theory and neural networks. The results of color difference between unique color presented and the estimated color gave very small value for the case without background, while the results of the case with background color depended on the ratio of area of presented color and background color till the ration of 2:1, The relation showed the Kirschman's law, The color difference saturated In the increase of area of background with the ratio more than 2:1.