• Journal of Fashion Business
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• v.20 no.1
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• pp.115-126
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• 2016

Today the Olympics are considered representative of a culture that symbolizes the country's image and cultural specificity, and important colors act as effective means of Olympics marketing. Each color is unique to the natural environment and cultural heritage is one of the languages of each country, region or community and it symbolizes. Hence, the purpose of this study was to examine the color and to view the color image displayed on Olympic uniforms based on the national color sensibility. After analyzing the color image of the Olympic athletes, including six kinds of uniforms and operational personnel, a cool casual/casual image is created more frequently, followed by a modern, gorgeous, dynamic, elegant/chic, dandy/classic image. The uniform color is consistent with the national image and the theme of the Pyeongchang Olympics is to enhance the country's competitiveness by widely promoting the national image of Korea around the world. Furthermore, it is necessary to provide the empirical basis for creating the 2018 Pyeongchang Winter Olympic uniforms.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.81-84
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• 2004

In this paper, we propose a virtual sound localization algorithm which improves the sound localization accuracy and sound color preservation for two channel and multi-channel surround speaker layouts. In conventional CPP laws, the sound direction is different from the panning angle and the sound color is different from real sound source especially when the speakers are spread out widely. To overcome this drawback, we design a virtual sound localization algorithm using directional psychoacoustic criteria (DPC) and sound color compensator (SCC). The analysis results show that in the case of the proposed system, the sound direction is the same as the panning angle in the audible frequency range and the sound color is less deviated from a real sound source than the conventional CPP law. In addition, its performance is verified by means of subjective tests using a real sound source.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.360-362
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• 2019

본 논문에서는 k-Means 클러스터링을 활용한 컬러 기반 이미지 추출을 통한 색각 검사 방안 연구를 진행한다. 이를 위해, RGB 컬러스페이스 기반의 이미지를 특별한 컬러스페이스 이미지로 변환 후 컬러 패턴 분포에 따라 k-Means 클러스터링을 적용하여 다양한 형태의 이미지를 추출하는 실험을 수행한다. 위의 실험을 통해 하나의 이미지를 컬러 분포 패턴을 통해 클러스터링하여 이미지를 추출을 통하여 정상인과 색각 이상자를 판별할 수 있었다. 실험 결과, 다양한 형태와 색을 가진 이미지를 추출하여 정상인이 보는 이미지와 색각 이상자가 보는 이미지가 다른 것을 확인하였다.

• Journal of the Korean institute of surface engineering
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• v.55 no.3
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• pp.164-172
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• 2022

Hot-dip galvanized steel(GI) is widely used throughout the industry as a corrosion resistance material. Corrosion of steel is a common phenomenon that results in the gradual degradation under various environmental conditions. Corrosion monitoring is to track the degradation progress for a long time. Corrosion on steel plate appears as discoloration and any irregularities on the surface. This study developed a quantitative evaluation method of the rust formed on GI steel plate using a superpixel-based DBSCAN clustering method and k-means clustering from the corroded area in a given image. The superpixel-based DBSCAN clustering method decrease computational costs, reaching automatic segmentation. The image color of the rusty surface was analyzed quantitatively based on HSV(Hue, Saturation, Value) color space. In addition, two segmentation methods are compared for the particular spatial region using their histograms.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.110-116
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• 2017

This paper presents an effective demosaicking algorithm for color filter array (CFA) images acquired from single-sensor devices based on directional interpolation and nonlocal properties of the image. We interpolate the G channel considering diagonal directions as well as horizontal and vertical directions, using a small number of pixels to reflect local properties of the image. Then, we overcome image degradations, such as zipper effects near edges and false colors, by applying nonlocal means (NLM) filtering to the interpolated pixels. R and B channels are reproduced by using directional interpolation with information of the reconstructed G channel and NLM filtering. Experimental results for various McMaster images with high saturation and color changes show that the proposed algorithm accomplishes high PSNR compared with conventional methods. Moreover, the proposed method demonstrates better subjective quality compared with existing methods in terms of reduction of quality degradation, like false colors, and preservation of the image structures, such as edges and textures.

• Journal of the Korea Safety Management & Science
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• v.10 no.4
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• pp.145-152
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• 2008

According to the Korea Agency for Technology and Standards under the Commerce Ministry, OLED device's lifetime is defined 50% drop of luminance. OLED device is self-emitting operating device, that means it becomes different color between pixels under using environment. That's reason of the different luminance drop ratio & chromaticity coordinates shift ratio with time. The problem is there is not recovered after luminance drop and color shift. We can recognize the difference of color as image sticking. First we studied when human recognize the difference of color and second we apply the method of OLED device's lifetime test that's able to check different color between pixels.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.915-917
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• 2011

In this paper, a comparison of superpixel characteristics for each color feature space. The superpixel is consist of several pixels with same features such as luminance, color, textures etc. The superpixel can be used on image processing and analysis with large image size to speed up the process. We compare the superpixel characteristics by means of compactness using Berkeley image database(BSD-300).

• Journal of the Korean Society of Costume
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• v.56 no.1 s.100
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• pp.131-142
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• 2006

This research has been done based on the Jeon Si Gwa(田柴科) regulation, the monumental inscription material and the former studies. The background of adapting the official uniform regulation in the early Goryeo Dynasty has been surveyed. Differentiating criterion in the official uniform color like purple(紫衫), red(丹衫), red(緋衫), and green(綠衫) has been studied. The official rank had been classified by the color of the official uniform in the early Goryeo uniform regulation. The lower class had worn purple(紫衫). The purple wearing class had not been the government post but the official rank. Those who worked for the Palace had worn purple color since purple color represented the Imperial Palace on which TAI-IL(太一), that is, the highest one of gods dwelt. Those who had worn red(丹色) in the monumental inscription had worked for the job associated with the military service or Hanlim savant(翰林學士) of Kwangmun Academy(光文院) and Hanlim Academy(翰林元). Dan Seo(丹書) which recorded King's commands also means the monumental inscription. In the Goryeosa(高麗史), the military class had been only in Dan Sam(丹衫). That means those class worn Dan Sam(丹衫) could have been as the strong supportive class for the Dynasty. In the early Goryeo Dynasty, the four colored uniform regulation had followed the enforcing policy of the royal authority. It has been assumed that the uniform regulation had been used as a way of enrolling the new supporting class into the existing official system. Dan Sam(丹衫) which had been worn only in the early Goryeo can be seen as the special class for strengthening the royal authority.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.576-582
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• 2011

In this paper, we proposed the improved Advanced Detail Enhancement algorithm that improve the blurring by the lossy compression with CODEC and reduce the ringing artifacts in restoration. The conventional algorithm needs much amount of the process by the use of RGB color space. To improve this, we only used the luminance value in YCbCr color space. We verified that the performance of the improved algorithm with Y color value, the luminance value, is equal to the conventional algorithm with RGB color value and that the operation time of the improved is shorter about 24% than the conventional through the measurement of the operation time with Kodak standard images.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3108-3120
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• 2019

Point cloud is widely used in 3D applications due to the recent advancement of 3D data acquisition technology. Polygonal mesh-based compression has been dominant since it can replace many points sharing a surface with a set of vertices with mesh structure. Recent point cloud-based applications demand more point-based interactivity, which makes point cloud compression (PCC) becomes more attractive than 3D mesh compression. Interestingly, an exploration activity has been started to explore the feasibility of PCC standard in MPEG. In this paper, a new color attribute compression method is presented for point cloud data. The proposed method utilizes the spatial redundancy among color attribute data to construct a color palette. The color palette is constructed by using K-means clustering method and each color data in point cloud is represented by the index of its similar color in palette. To further improve the compression efficiency, the spatial redundancy between the indices of neighboring colors is also removed by marking them using a flag bit. Experimental results show that the proposed method achieves a better improvement of RD performance compared with that of the MPEG PCC reference software.