• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.11
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• pp.133-143
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• 1998

The viewers primarily watch a television under the surround light source of an incandescent or a fluorescent light. When human visual system has been adapted chromtically under the different surround light, the same chromaticities elicit quite different color appearnaces. Therefore, the corresponding color reproduction is the most suitable objective of a color television system. In this paper, an efficient corresponding color reproduction method based on the chromatic adaptation of human visual system is proposed in which colors in the display have the same appearance as the colors in the original would have had if they had been illuminated by standard illuminant ($D_{65}$). The chromaticities that appeared neutral in human visual system were determined by the Hunt's experimental results of the color adaptation in picture viewing situations and the corresponding chromaticity coordinates of stimuli in chromatic adaptation were obtained by the Bartleson's theory. Also, the corresponding color reproduction is realized by changing the phase and the gain of the demodulation axes in television receiver. Experimental results show that the proposed corresponding color displayed on the television is better than that of the conventional colorimetric color reproduction under the surround light sources.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.33-41
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• 2004

This paper proposes a color matching 3D look-up table simplifying the complex color matching procedure between a monitor and a mobile display device. In other to perform color matching, it is necessary to process color of image in the device independent color space like CIEXYZ or CIELAB. To obtain the data of the device independent color space from that of the device dependent RGB color space, we must perform display characterizations. LCD characterization error using S-curve model is larger than tolerance error since LCD is more nonlinear than CRT. This paper improves the S-curve model to have smaller characterization error than tolerance error using the electro-optical transfer functions of X, Y, and Z value. We obtained images having higher color fidelity on mobile display devices through color matching experiments between monitor and mobile display devices. As a result of this experiments, we concluded that the color matching look-up table with 64(4${\times}$4${\times}$4) is the smallest size allowing characterization error to be acceptable.

• The Journal of the Korea Contents Association
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• v.12 no.1
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• pp.185-196
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• 2012

This study of the emotional image of the package design of Tea drink. Above all, Collects the packages of tea drink in the Chinese market. Investigate the taste adjectives with about the package design of Tea drink. And 'Sweet. Bitter, refreshing, sour 'four major taste adjectives were deduced. Next, Investigate the level with the taste adjectives of the package design of tea drink and the affinity of package design of tea drink. Finally, Analyzed the distinction of visual elements with the taste adjectives of the package design of tea drink. And, Analyzed the distinction of visual elements according to impact of preference of the package design of tea drink.

• Journal of KIISE:Databases
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• v.32 no.3
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• pp.254-262
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• 2005

This paper presents a new sequential indexing method called segment-page indexing (SP-indexing) for multidimensional range queries. The design objectives of SP-indexing are twofold:(1) improving the range query performance of multidimensional indexing methods (MIMs) and (2) providing a compromise between optimal index clustering and the full index reorganization overhead. Although more than ten years of database research has resulted in a great variety of MIMs, most efforts have focused on data-level clustering and there has been less attempt to cluster indexes. As a result, most relevant index nodes are widely scattered on a disk and many random disk accesses are required during the search. SP-indexing avoids such scattering by storing the relevant nodes contiguously in a segment that contains a sequence of contiguous disk pages and improves performance by offering sequential access within a segment. Experimental results demonstrate that SP-indexing improves query performance up to several times compared with traditional MIMs using small disk pages with respect to total elapsed time and it reduces waste of disk bandwidth due to the use of simple large pages.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.49 no.3
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• pp.67-73
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• 2012

Local color transfer is the process of assigning a given color to a local region in a target image. The local region that contains the given color has to be segmented. Conventionally, the segmentation of the corresponding local region in a target image is based on the color distance. The region which is the closest in color distance is separated. However, since the close range of color distance separating a given color from target image is ambiguous and uncertain, color distortion is often generated around a separated local region. Therefore, this paper addresses the problem of segmentation in a local color transfer. To prevent color distortion, a modified color influence map is proposed with color categories. First, the target image is roughly segmented using a color category map, which groups similar colors in color space. It restricts the color transfer to a specific color category according to a given color. Second, modified color influence map assigning different weight to lightness and chroma, respectively, is used instead of Euclidian color distance. Then, by combining a modified color influence map and color category map filtered with anisotropic diffusion, a local region that contains a given color can be segmented more strictly than conventional method.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.66 no.4
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• pp.350-357
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• 2021

In the present study, the seed color of 200 common bean genetic resources was analyzed and located on the HTML color chart to classify these resources according to color characteristics. This classification method predicts the components of seed and may serve as a new method for efficiently using secured genetic resources. The imagary data of common bean exhibiting various seed colors were expressed using the HTML color chart. According to the proposed classification method, the seed color was distributed in seven categories: yellow-green, yellow, brown, red, white, gray, and indigo. In addition, the distribution of each seed color was according to its concentration. The distribution by concentration was the highest for red, whereas the distribution of gray and yellow-green was not concentration-dependent. As the dominant pigments based on color distribution, chlorophylls in yellow-green; carotenoids in yellow; and anthocyanins in brown, red, white, gray, and indigo significantly affected seed color. When expressed objectively, seed colors can be applied to the systematic management, breeding, and cultivation of genetic resources and can be useful for marketing or developing products of desired colors. This method can also be applied to other crops.

• Trans-
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• v.12
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• pp.51-79
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• 2022

This study investigates the methods for deriving colors which can serve as a reference to users such as designers and or contents creators who search for online images from the web portal sites using specific words for color planning and more. Two experiments were conducted in order to accomplish this. Digital scenery photos within the geographic scope of Korea were downloaded from web portal sites, and those photos were studied to find out what colors were used to describe daytime and nighttime. Machine learning was used as the study methodology to classify colors in daytime and nighttime, and KSCA was used to derive the color frequency of daytime and nighttime photos and to compare and analyze the two results. The results of classifying the colors of daytime and nighttime photos using machine learning show that, when classifying the colors by 51~100%, the area of daytime colors was approximately 2.45 times greater than that of nighttime colors. The colors of the daytime class were distributed by brightness with white as its center, while that of the nighttime class was distributed with black as its center. Colors that accounted for over 70% of the daytime class were 647, those over 70% of the nighttime class were 252, and the rest (31-69%) were 101. The number of colors in the middle area was low, while other colors were classified relatively clearly into day and night. The resulting color distributions in the daytime and nighttime classes were able to provide the borderline color values of the two classes that are classified by brightness. As a result of analyzing the frequency of digital photos using KSCA, colors around yellow were expressed in generally bright daytime photos, while colors around blue value were expressed in dark night photos. For frequency of daytime photos, colors on the upper 40% had low chroma, almost being achromatic. Also, colors that are close to white and black showed the highest frequency, indicating a large difference in brightness. Meanwhile, for colors with frequency from top 5 to 10, yellow green was expressed darkly, and navy blue was expressed brightly, partially composing a complex harmony. When examining the color band, various colors, brightness, and chroma including light blue, achromatic colors, and warm colors were shown, failing to compose a generally harmonious arrangement of colors. For the frequency of nighttime photos, colors in approximately the upper 50% are dark colors with a brightness value of 2 (Munsell signal). In comparison, the brightness of middle frequency (50-80%) is relatively higher (brightness values of 3-4), and the brightness difference of various colors was large in the lower 20%. Colors that are not cool colors could be found intermittently in the lower 8% of frequency. When examining the color band, there was a general harmonious arrangement of colors centered on navy blue. As the results of conducting the experiment using two methods in this study, machine learning could classify colors into two or more classes, and could evaluate how close an image was with certain colors to a certain class. This method cannot be used if an image cannot be classified into a certain class. The result of such color distribution would serve as a reference when determining how close a certain color is to one of the two classes when the color is used as a dominant color in the base or background color of a certain design. Also, when dividing the analyzed images into several classes, even colors that have not been used in the analyzed image can be determined to find out how close they are to a certain class according to the color distribution properties of each class. Nevertheless, the results cannot be used to find out whether a specific color was used in the class and by how much it was used. To investigate such an issue, frequency analysis was conducted using KSCA. The color frequency could be measured within the range of images used in the experiment. The resulting values of color distribution and frequency from this study would serve as references for color planning of digital design regarding natural scenery in the geographic scope of Korea. Also, the two experiments are meaningful attempts for searching the methods for deriving colors that can be a useful reference among numerous images for content creator users of the relevant field.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.08a
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• pp.293-294
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• 2012

백색 OLED 조명 분야에서 색 변환은 큰 이슈가 되고 있다. 하지만 청색 유기물의 발광 특성이 좋지 못하여 아직까지 정착이 되지 못하고 있는 것이 현실이다. 본 연구에서는 발광 효율이 낮은 청색 OLED 대신 청색 LED와 황색 OLED를 사용하여 색 변환을 통한 백색 발광 panel을 제조하고 전기 및 광학적 특성을 평가하였다. 먼저 OLED소자는 진공증착방법을 사용하여 ITO (150 nm)/KHI-001 (5 nm)/LG-101 (10 nm)/KHT-001 (25 nm)/ PGH-02 (25 nm): Ir (mpp) 3 (8%): PRD-003 (0.3%)/TMM-004 (10 nm)/LG-201 (20 nm): LiQ (50%)/Al (150 nm) 구조를 갖는 발광면적 $70{\times}70mm^2$의 황색 OLED panel을 제작하였다. CIE 1931색좌표는(0.49, 0.49)이고, 효율은 $41.61{\ell}m/W$이다. 그리고 LED는 청색 칩을 한 줄로 나열하여 LED bar를 만들었고 여기에 도광판, 리버스 프리즘시트, 확산시트 그리고 반사시트를 더하여 점광원을 면광원화 하였다. CIE 1931색좌표가 (0.15, 0.04)이며 효율은 $3.56{\ell}m/W$이다. 황색 OLED를 청색 LED 면광원 뒤에 붙여서 두 빛이 도광판 위쪽으로 나오게 하였다. 이렇게 hybrid된 빛은 인가 전류를 변화 시킴으로써 색온도 3,200 K의 warm white에서 7,800 K의 cool white까지 변환이 가능하였다. 그리고 순백의 hybrid 빛을 얻을 수 있었는데 이때의 색온도는 4200K이고 CIE 1931색좌표는(0.34, 0.33)이며 연색지수는 89였다.

• Journal of KIISE:Databases
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• v.37 no.5
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• pp.267-274
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• 2010

Recently, color harmony that decides the value of design is becoming important. In the paper, we propose a method that allows us to easily use harmonious colors in computer systems. Since existing work has focused on finding new color harmony rules or rules that translate emotional words into colors, a method that models these rules in the computer system has not been discussed in depth. In this paper, we model a color system and color harmony rules as a relational database and queries on this database, respectively.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2007.05a
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• pp.35-38
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• 2007

맛을 인지하는데 있어 색채가 끼치는 영향에 대한 선행 연구들에 의하면 사람은 특정 색이 상기시켜주는 맛을 기억하고 있고, 맛과 그 강도를 예측하고 판단하는데 있어 색에 크게 의지하고 있음을 알 수 있다. 본 연구에서는 사람들이 음식물 색에 대한 경험의 종류와 정도에 따라 색채로부터 연상되는 맛에 대한 특성을 파악하기 위해 2회에 걸친 실험을 진행하였다. 실험 1에서는 색상환에 고르게 분포한 여섯 가지 대표 색을 가진 초콜렛 샘플을 준비하고 피험자들에게 단맛과 쓴맛의 정도에 대해 각각 평가하도록 하였다(N=20). 실험 2에서는 실험 1의 색을 활용하되, 이를 알약에 적용한 후 동일한 평가를 진행하였다(N=20). 실험 결과, 맛에 대한 경험이 풍부한 난색 계열에서는 단맛, 쓴맛에 대한 일관된 경향을 나타냈지만, 그렇지 않은 파랑색에 대해서는 분산된 반응을 나타났다. 본 연구의 결과는 경험의 정도에 따라 색으로부터 연상되는 공감각적 특성에 대한 통찰력을 제공하며 효과적인 식품 패키지 디자인에 참고로 활용될 수 있을 것이다.