• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.1157-1160
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• 2005

The denoising and reconstruction of color images are increasingly studied in the field of computer vision and image processing. Especially, the denoising and reconstruction of color face images are more difficult than those of natural images because of the structural characteristics of human faces as well as the subtleties of color interactions. In this paper, we propose a denoising method based on PCA reconstruction for removing complex color noises on human faces, which is not easy to remove by using vectorial color filters. The proposed method is composed of the following five steps; training of canonical eigenface space using PCA, automatic extracting of face features using active appearance model, relighing of reconstructed color image using bilateral filter, extraction of noise regions using the variance of training data, and reconstruction using partial information of input images (except the noise regions) and blending of the reconstructed image with the original image. Experimental results show that the proposed denosing method efficiently removes complex color noises on input face images.

• Journal of the Korean Society of Costume
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• v.55 no.3 s.93
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• pp.122-135
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• 2005

The purpose of this study is to classify achromatic color images adopted by contemporary fashion design in order to analyze the links between achromatic color images and fashion images. To this end, the study on the images of achromatic colors of White, grey, and black was conducted by reviewing related documents. In order to analyze the image factors affecting contemporary fashion design, the documents related to fashion history were consulted and in the case of fashion design factors and images, fashion looks using achromatic color as a main theme were referred. The results of this study are as follows : 1. An achromatic color is cold, calm and plain as well as modern. At the same time, it is abstinent and solemn so the color has been mainly used as religious garment. 2. An achromatic color used in apparels has been influenced by the developments of culture, art, society, ideology, politics, economy, science and technology. Black dress was introduced by Art Deco colors, little black dress by feminism, white by the popularity of sports, black becomes more popular by nihilistic beat and punk generations, moon look and cyber punk look were introduced for the advancement of science. Other apparel looks using the color are modern look, feminine look, futuristic look, mannish look, sportive look, and avant-garde look.

• Journal of Broadcast Engineering
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• v.18 no.4
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• pp.647-650
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• 2013

HEVC RExt(High Efficiency Video Coding Range Extension) set a goal to support RGB/YUV 4:2:2 4:4:4 color sampling and over 10 bit-depth images. Unlike the previous 4:2:0 color sampling images, RGB images have the high correlation in inter-color planes. Using this characteristic, some methods which are contributed in JCT-VC standardization meetings estimate the pixel values of inter-color plane. But when we use the estimation of inter-color plane in RGB images, high frequency components of RGB images are caused to reduce the coding efficiency because they usually have the low inter-color plane correlation. Therefore, in this paper, we propose an adaptive low pass filtering method in the inter-color plane estimation. Using this method, we can improve the estimation efficiency of inter-color plane in RGB images. The experimental results with HEVC RExt RGB test sequences show that the proposed method has 0.6% BD(Bjontegaard Distortion)-rate gain and some increased complexity compared to the previous inter-color plane estimation method.

• Publications of The Korean Astronomical Society
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• v.16 no.1
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• pp.25-29
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• 2001

We obtained three-color composite. images of 78 celestial objects most of which are listed in Messier catalogue. In order to make color images, 118 raw image sets were taken with B, V, R, I and H-alpha filters. We used the 2k CCD camera attached to the 1.8 m telescope of Bohyunsan Optical Astronomy Observatory. These composite images are to be used for educational purposes or public releases. The images are presented on the website, http://www.boao.re.kr/-ybjeon/boao_images.htrnl.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.396-399
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• 2009

In this paper, we present a method to define a color similarity between color images using Octree-based quantization and similar color integration. The proposed method defines major colors from each image using Octree-based quantization. Two color palettes to consist of major colors are compared based on Euclidean distance and similar color bins between palettes are matched. Multiple matched color bins are integrated and major colors are adjusted. Color histogram based on the color palette is constructed for each image and the difference between two histograms is computed by the weighted Euclidean distance between the matched color bins in consideration of the frequency of each bin. As an experiment to validate the usefulness, we discriminated the same clothing from CCD camera images based on the proposed color similarity analysis. We retrieved the same clothing images with the success rate of 88 % using only color analysis without texture analysis.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.7
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• pp.589-598
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• 2002

The color measuring/matching expert system is implemented with a new color measuring method that combines intelligent algorithms with image processing techniques. Color measuring part of the proposed system preprocesses the scanned original color input images to eliminate their distorted components by means of the image histogram technique of image pixels, and then extracts RGB(Red, Green, Blue)data among color information from preprocessed color input images. If the extracted RGB color data does not exist on the matching recipe databases, we can measure the colors for the user who want to implement the model that can search the rules for the color mixing information, using the intelligent modeling techniques such as fuzzy inference system and adaptive neuro-fuzzy inference system. Color matching part can easily choose images close to the original color for the user by comparing information of preprocessed color real input images with data-based measuring recipe information of the expert, from the viewpoint of the delta Eformula used in practical process.

• Journal of the Korean Society of Costume
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• v.60 no.4
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• pp.146-161
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• 2010

The purpose of this study was to analyze the characteristics and images of costume colors in Korean Masque Drama. For this study, 242 color samples were selected by extracting digital color data by using the Eyedropper Tool of Photoshop 7.0. The RGB color data were transformed to HV/C and the attributes of color and tone were analyzed. Color images were analyzed with the IRI color image scale. As a result, neutral, red, purple blue, and yellow were found to be the most frequently used colors in the Korean Masque costumes. In the ton analysis, white tone showed high frequency and next orders were dp, s, v, b, sf. In the hue & tone, the most frequent color was white, followed by R(v), PB(dp), R(dp), YR(s), GY(s) and mGY. Color images were focused on dynamic, gorgeous, and natural images.

• The Journal of Sustainable Design and Educational Environment Research
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• v.5 no.2
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• pp.53-66
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• 2006

Recent color plans in school buildings are made by experts through public offerings for prizes for designs etc in relatively many cases. But it is necessary to review if such color plans are actually well conform to students' emotions and what trend the color plans made as such have. Therefore, this study examined and analyzed the exterior colors of the school buildings planned by public offerings for prizes for designs and reviewed the result comparing to the color preferences of students that had already been studied to figure out the differences between existing theories and the realities. And it was examined what differences were existing in the trends of color plans and color images examined between each of school levels. The result of the study compared to theories is as follows. First, when the color distributions were reviewed for each school level, it could be confirmed that the overall distributions moved from Y category to B category and whereas warm colors were more widely distributed and the number of colors were greater compared to cold colors in case of elementary schools, the distributions of warm colors gradually decreased as school level moves to high schools. Second, the color use distributions of elementary school students were revealed to be more diversified than middle and high school students and also the number of colors used was 9.5 in average in elementary school and middle schools and high schools were similar to each other with average 5.86 colors in middle schools and 6.33 colors in high schools showing a little differences in color use distributions among school levels of elementary schools, middle schools and high schools. Third, in case of elementary schools, except main colors, both of subsidiary colors and emphasizing colors had the distributions of warm colors of R, YR, Y categories and cold colors of B, PB categories and this is also consistent with the results of existing research results indicating that low grade students prefor for warm colors and high grade students prefer for cold colors. Fourth, in case of middle schools and high schools, although the distributions of warm colors decreased, the distributions of warm colors and cold colors were revealed to be similar. This is considered to be consistent with the existing research results indicating that girl students prefer for warm colors even if their ages go up. Fifth, as for the images of main colors, subsidiary colors and emphasizing colors resulted from the comparisons by solid color Image Scales and adjective Image Scales, first, in case of main colors, natural images or clear images appeared the most in all of elementary schools, middle schools and high schools indicating that basically calmness is emphasized with soft images rather than hard images and static images rather than dynamic images. Also, in case of subsidiary colors or emphasizing colors, cheerful images or splendid images are also seen to decrease as school level goes from elementary schools to high schools in adjective Image Scales and this is considered to reflect the color sentiment differences between children and juveniles based on ages.

• Journal of the Korean Home Economics Association
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• v.41 no.8
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• pp.159-178
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• 2003

The purpose of this research is to analyze the characteristics of colors and color images on fashion web sites, and to provide efficient color informatiom which is useful in color planning and is suitable for brand image on fashion web sites.216 color sample used by 48 fashion web sites were collected and analyzed. The results of this study are as follows; First, dominant colors on fashion web sites are neutral color such as white, gray, black and warm colors such as red, yellow red, yellow. Except blue, cool colors show low usage ratio. Second, the color tones of vivid, strong, light, dull, dark, dark grayish were shown in order. Third, the color images on fashion web sites are casual, modem, romantic, natural, elegant, chic, classic, dandy, pretty, clear, cool casual, dynamic, gorgeous, ethnic and formal.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.1
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• pp.1-10
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• 2008

Coloriztion algorithms, which hide color information into gray images and find them to recover color images, have been developed recently. In these methods, it is important to minimize the loss of original information while the color components are embedded and extracted. In this paper, we propose a colorization method using a wavelet packet transform in order to embed color components with minimum loss of original information. In addition, the compensation processing of color saturation in the recovered color images is achieved. In the color-to-gray process, an input RGB image is converted into Y, Cb, and Cr images, and a wavelet packet transform is applied to the Y image. After analyzing the amounts of total energy for each sub-band, color components are embedded into two sub-bands including minimum amount of energy on the Y image. This makes it possible not only to hide color components in the Y image, but to recover the Y image with minimum loss of original information. In the gray-to-color process, the color saturation of the recovered color images is decreased by printing and scanning process. To increase color saturation, the characteristic curve between printer and scanner, which can estimate the change of pixel values before and after printing and scanning process, is used to compensate the pixel values of printed and scanned gray images. In addition, the scaling method of the Cb and Cr components is applied to the gray-to-color process. Through the experiments, it is shown that the proposed method improves both boundary details and color saturation in the recovered color images.