• Title/Summary/Keyword: palette color

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Biophilic Color Palette Development based on NeuroArchitecture towards Psychological Healing - Focused on the Landscape Painting of Impressionism 'Claude Monet' - (심리 치유를 위한 신경건축학 기반의 바이오필릭 색채 팔레트 정량화 - 인상주의 '모네'의 풍경화를 중심으로 -)

  • Choi, Yoon-Young;Lee, Hyun-Soo
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.2
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    • pp.43-52
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    • 2020
  • With the advent of the Fourth Industrial Revolution, people need healing. Research in neuroarchitecture shows that people feel happy and stable when working with nature, and patients heal quickly. Therefore, This study aims to quantitatively analyze the colors that help psychological healing in the painting images depicting nature by setting 'Natural Colors' of Biophilic Design as the subject of research. So the purpose of this study was to measure Biophilic Color and to develop Biophilic Color Palette. We extracted Biophilic colors using Impressionist Monet's Landscape painting. After extracting colors using Photoshop Color Picker, we converted RGB color code to NCS color code and Munsell color code. The results of this study were as follows; The ratio of Y was high in the GY-series and YR-series. This is due to the characteristic of impressionism that expresses the change of color by light in close relationship with light. Y is universally considered to be pleasant, representing happiness, sunshine and optimism. Therefore, it is possible to create an environment that helps psychological healing by utilizing the Y-series color palette. Average Blackness was 28. Average Chromaticness was 34.61. The significance of this study is to propose a biophilic color palette that is useful for psychological healing by quantifying the color code of biophilic colors depicted and expressed with adjective images and idiomatic color names. Quantitative and empirical studies on healing colors are needed continuously and should be actively utilized in healing environment planning.

Color image quantization using color activity weighted distortion measure of human vision (인간 시각의 칼라 활성 가중 왜곡 척도를 이용한 칼라 영상 양자화)

  • 김경만;이응주;박양우;이채수;하영호
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.4
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    • pp.101-110
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    • 1996
  • Color image quantization is a process of selecting a set of colors to display an image with some representative colors without noticeable perceived difference. It is very important in many applications to display a true color image in a low cost color monitor or printer. the basic problem is how to display 224 colors with 256 or less colors, called color palette. In this paper, we propose an algorithm to design the 256 or less size color palette by using spatial maskin geffect of HVS and subjective distortion measure weighted by color palette by using spatial masking effect of HVS and subjective distortion measure weighted by color activity in 4*4 local region in any color image. The proposed algorithm consists of octal prequantization and subdivision quantization processing step using the distortion measure and modified Otsu's between class variance maximization method. The experimental results show that the proposed algorithm has higher visual quality and needs less consuming time than conventional algorithms.

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A Study on MCC Development for Color Design (색체디자인을 위한 MCC 개발에 관한 연구)

  • Moon, Eun-Bae
    • Archives of design research
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    • v.18 no.2 s.60
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    • pp.219-232
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    • 2005
  • Moderns are living within flood of web contents, animation, reflex data etc. as well as sight, product, environment design. There fore, modern consumer has much options. Designer must provide various result for consumer for this reason. And must invent new sensitivity and propose to consumer. As purpose of this MCC sensitivity palette research takes advantage of the most sensitive color, do. Because applying correct sensitivity more than when design with matter already settled, rid private prejudice, and is thing to convey design intention exactly to user. Excellent culture contents must be able to equip international color design sensitivity. MCC sensitivity palette research studies and carries on the head emotion and sensitivity language that is nationality first, and collect End arranged sensitivity adjective through data analysis and picture data analysis that is the next time research leader Munheonjeok. And distributed collected adjective equally, and arrange distributed adjective by field of each sensitivity and collect system. Do 3 colors, 4 colors color scheme in selected sensitivity adjective and completed Simheom version. Result of beta version research to color specialist and designer last digital palette through question and inquiry compose. Through this process, completed more real and correct digital color sensitivity palette. Completed color scheme is operated in www.mcdri.net on web, and also programs to windows base and developed to software. MCC color scheme palette that research result is made includes sensitivity data database. This database can use directly in industry and continuous development is available. Software can search color scheme in language and idea development through classification search that use 3 attributes of color is available there is cough data of each output device different color error.

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Color image quantization considering distortion measure of local region block on RGB space (RGB 공간상의 국부 영역 블록의 왜곡척도를 고려한 칼라 영상 양자화)

  • 박양우;이응주;김경만;엄태억;하영호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.4
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    • pp.848-854
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    • 1996
  • Many image display devices allow only a limited number of colors to be simultaneously displayed. in disphaying of natural color image using color palette, it is necessary to construct an optimal color palette and the optimal mapping of each pixed of the original image to a color from the palette. In this paper, we proposed the clustering algorithm using local region block centered one color cluster in the prequantized 3-D histogram. Cluster pairs which have the least distortion error are merged by considering distortion measure. The clustering process is continued until to obtain the desired number of colors. The same as the clustering process, original color value. The proposed algorithm incroporated with a spatial activity weighting value which is reflected sensitivity of HVS quantization errors in smoothing region. This method produces high quality display images and considerably reduces computation time.

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Color Characteristics and Color Differentiation by the Segmented Market of Casual Wear and Sports Wear in Korea (Focused on 1999 F/W~2002 F/W)

  • Kim, Hyun-Jin;Kim, Young-In
    • Proceedings of the Korea Society of Costume Conference
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    • 2003.10a
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    • pp.43-43
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    • 2003
  • The first purpose of this study is to establish the database of color palette and coordination for casual wear and sports wear market by analyzing and comparing the characteristics of practical colors for each market segment. Furthermore, this study will make the proposal of the differential color palette and color coordination that will be used for effective color planning for the niche market.

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Color Image Quantization and Dithering Method based on HVS Characteristics

  • Ha, Yeong-Ho
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.569-574
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    • 1999
  • New methods for both color palette design and dithering based on human visual system (HVS) characteristics are proposed. Color quantization for palette design uses the relative visual sensitivity and spatial masking effect of HVS. The dithering operation for printing uses nonlinear quantization, which considers the overlapping phenomena among neighbor printing dots, and then a modified dot-diffusion algorithm is followed to compensate the degradation produced in the quantization process. The proposed techniques can produce high quality image in the low-bit color devices.

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A Study on Formation of Incremental Palette for Lower Quality Display (저 사양 디스플레이를 위한 동적 팔래트 생성 방법에 관한 연구)

  • Paik, Doo-Won;Lim, Hun-Gyu;Hwang, Joo-Yeon
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.1
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    • pp.169-173
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    • 2008
  • A navigation system for virtual environments using low-quality HMD(head mounted display) must quantize images when the system presents true-color image with restricted number of colors. Such navigation system quantizes an image by using fixed palette. If the system represents an image by using a variable palette which is made considering a region around the viewpoint then user can perceive a virtual environments more vividly because human visual system is sensitive to the colors variation in the region around the viewpoint. In this paper we propose a color quantization algorithm that quantize a region around the viewpoint more finely than other regions at each variation of viewpoint for virtual environments navigation system.

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A Study on the Exterior Color Palette of the Apartment Buildings around Han River in Seoul for Environmental Color Plan (환경색채계획을 위한 서울시 한강변 아파트 외장 색채팔레트에 관한 연구)

  • 최희승;박영순
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2002.04a
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    • pp.154-158
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    • 2002
  • The object of this study is to find out our present exterior color palette of the apartment buildings by Han River, which represents the visual image of Seoul, to reveal how well it is harmonized with its surroundings along with the last 10 years researches, and to compare its correspondence with the city plan of Seoul. Furthermore, it is the ultimate purpose to prepare source materials for desirable color plan of the city.

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Working Clothes Design and Production in the Mechatronics Machinery Industry with the Application of Faber Birren's Color Harmony Theory

  • Park, Hye-Won;Yang, Jung-Hee
    • Journal of Fashion Business
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    • v.16 no.3
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    • pp.32-44
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    • 2012
  • This study proposed a color scheme that is harmonious with the working environment of industrial sites using Birren's color harmony theory for color planning. To apply the Birren's color harmony theory to working clothes, the basic colors were chosen, and six of the eight harmony formulas of Birren excluding achromatic colors (white + grey + black) and solid color harmony (solid colors + white + black) were used to form a palette for each case. For the basic colors, the color chips of four dominant colors (yellow-green, sky-blue, blue, and violet), which were chosen from a field survey for preferences in the first step, and the production of materials in the second step were collected through the PANTONE color chips. The selected color chips were PANTONE 13-0550 TPX, PANTONE 15-4105 TPX, PANTONE 18-3949 TPX, and PANTONE 19-3720 TPX. These color chips were scanned and their RGB values were extracted through Photoshop CS. Then the colors were arranged in accordance with the Birren's color harmony formulas (Color+Tint+White, Color+Shade+Black, Tint+Tone+Shade, Shade+Tone+Black, Shade+Tone+White, and Tint+Shade+Tone+Gray). In addition, the proposed palette color schemes were applied through Birren's color harmony formulas using Texpro V 10.1 textile to the schematization of working clothes that were designed in the previous study. Palette formation in line with Birren's color harmony formulas provided scientific color arrangement results. Visually presenting the color scheme of working clothes will help the color selection of working clothes in tune with the circumstances of industrial sites.

Development of an Instrument to Study Color Meaning in Interior Environment (실내환경의 색채의미연구를 위한 도구의 개발)

  • 박영순
    • Journal of the Korean Home Economics Association
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    • v.30 no.4
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    • pp.167-182
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    • 1992
  • The purpose of the study was to determine if an abstract color palette was representative of a color scheme of interior environment by which the meaning of colcor could be determined. An abstract color palette was developed by the researchers to show contrast, overlapping, and adjacencies as they might actually appear in an interior environment. Six pictures and six color palettes were used to test the meaning of color. The questionnaire consisted of 21 words to describe the color of interior environment. The sample consisted of 73 undergraduate students of varied majors. A factor analysis was used to identify the structure of color meaning. Five factors; emotional factor, factor of unity, spatial quality factor, factor of complexity, and social evaluation factor were identified. A t-test was used to analyze the difference in responses to the descriptor words for the pictures and palettes. It was found that in 14 of 21 descriptor, there was no significant difference between evaluation of color meaning for the pictures and palettes in 50% or more of the cases.

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