• Title/Summary/Keyword: color space conversion

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Color gamut mapping using fictive 3-D CIELAB equidistance sample (가상의 3차원 CIELAB 등거리 색표본을 이용한 색역사상)

  • 오현수;곽한봉;이철희;서봉우;안석출
    • Journal of the Korean Graphic Arts Communication Society
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    • v.19 no.2
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    • pp.58-67
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    • 2001
  • Gamut mapping is a technique that acts on cross-media color reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device- independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

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Color gamut mapping using fictive 3-D CIELAB equidistance sample (가상의 3차원 CIELAB 등거리 색표본을 이용한 색역사상)

  • 곽한봉;오현수;이철희;서봉우;안석출
    • Proceedings of the Korean Printing Society Conference
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    • 2000.12a
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    • pp.0.3-0
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    • 2000
  • Gamut mapping is a technique that acts on cross-media reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device-independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

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Generation Method of Color Gamut Mapping Look-up Table Uniformly Selected in the CIELAB Color Space (CIELAB 색공간에서 균일한 분포를 갖는 색역사상 참조 테이블 생성 방법)

  • 오현수;이철희;곽한봉;서봉우;안석출
    • Journal of Korea Multimedia Society
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    • v.4 no.4
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    • pp.316-323
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    • 2001
  • Gamut mapping is a technique that acts on cross-media color reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends on the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device- independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using three-dimensional interpolation.

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$CIEL^{*}a^{*}b^{*}$-CMY nonlinear color transformation based on equi-visual perception color sampling (등시지각 색 샘플링에 기반한 $CIEL^{*}a^{*}b^{*}$-CMY로의 비선형 색변환)

  • 류승민;오현수;이철희;유미옥;최환언;안석출
    • Journal of the Korean Graphic Arts Communication Society
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    • v.18 no.1
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    • pp.103-112
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    • 2000
  • The color space transformation to link device-dependent color spaces and device-independent color spaces is essential for device characterization and cross-media color reproduction. There are various color conversion methods such as regression, 3D interpolation with LUT(look-up table), and neural network. In the color transformation with these methods, the conversion accuracy is essentially based on the sample data to be exploited for device characterization. In conventional method, color samples are uniformly selected in device-dependent space such as CMY and RGB. However, distribution of these color samples is very non-uniform in device-independent color space such as CIEL*a*b*. Accordingly, the conversion error in device-independent color space is irregular according to the distribution of the samples. In this paper, a color sampling method based on equi-visual perception is proposed to obtain approximate uniform color samples in CIEL*a*b* space. In order to evaluate transformation accuracy of proposed method, color space transformations are simulated using regression, 3D interpolation with LUT and neural network techniques, respectively.

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Color space's conversion for the color vision deficiency (적록 색각 이상자를 위한 색 공간 변환)

  • Kim, Yong-Geun
    • Journal of Korean Ophthalmic Optics Society
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    • v.10 no.1
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    • pp.1-8
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    • 2005
  • Color vision of color vision deficiency is possible using Color space's conversion of color image. Color vision of the RG-Color vision deficiency is possible by the case to maximize the G channel(+100), the case to minimize the G channel(-100), the case to maximize the R channel(+100), the case to convert the R channel to the yellow(Y) channel that is the value of $(-)b^*$ coordinate in CIE $L^*a^*b^*$ color space, the case to separate with only the B channel and the G channel and to appear by the light and darkness difference again, and the case to receive the image only by the light and darkness after separation of saturation and conversion of RGB channel.

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Color Image Coding Based on Shape-Adaptive All Phase Biorthogonal Transform

  • Wang, Xiaoyan;Wang, Chengyou;Zhou, Xiao;Yang, Zhiqiang
    • Journal of Information Processing Systems
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    • v.13 no.1
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    • pp.114-127
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    • 2017
  • This paper proposes a color image coding algorithm based on shape-adaptive all phase biorthogonal transform (SA-APBT). This algorithm is implemented through four procedures: color space conversion, image segmentation, shape coding, and texture coding. Region-of-interest (ROI) and background area are obtained by image segmentation. Shape coding uses chain code. The texture coding of the ROI is prior to the background area. SA-APBT and uniform quantization are adopted in texture coding. Compared with the color image coding algorithm based on shape-adaptive discrete cosine transform (SA-DCT) at the same bit rates, experimental results on test color images reveal that the objective quality and subjective effects of the reconstructed images using the proposed algorithm are better, especially at low bit rates. Moreover, the complexity of the proposed algorithm is reduced because of uniform quantization.

Color Look-Up Table for Multi-Function Printer (잉크젯 복합기를 위한 칼라 참조 테이블 설계)

  • 김윤태;조양호;이호근;하영호
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1759-1762
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    • 2003
  • This paper proposes the method that design CLUT(color look-up table) simultaneously processing gamut mapping and color space conversion using only LUT without complex computation. After we construct LUT composed of scanner gamut and printer gamut, we extend L$\^$*/a$\^$*/b$\^$*/ points based on input L$\^$*/a$\^$*/b$\^$*/ to include input scanner L$\^$*/a$\^$*/b$\^$*/ Input RGB image of scanner is converted into CIEL$\^$*/a$\^$*/b$\^$*/ using regression (unction. CIELAB values of scanner are convened into CMY values including gamut mapping processing without additional gamut mapping using the proposed CLUT. In the experiments, the proposed method resulted in the similar color difference, but reduced the complexity computation compared with processing gamut mapping and color space conversion respectively

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Determination of color samples uniformly distributed in printer gamut and its application to color reproduction (프린터 색역에 균등한 분포를 갖는 색표본 생성 및 색재현)

  • Lee, Cheol-Hee;Kim, Hee-Soo;Ahn, Suk-Chul;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.37 no.5
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    • pp.64-75
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    • 2000
  • This paper proposes a color sample selection method that produces a uniform distribution in the display gamut plus a color reproduction method for using a uniform color sample In contrast to the conventional method, the proposed uniform color samples are selected m CIELAB, a device-independent color space, instead of RGB (red, green, and yellow) or CMY (cyan, magenta, and yellow) space, device-dependent color spaces To evaluate the performance of the proposed color samples, they were applied to color space conversion using both a regression model and neural network As a result, in the case of a color sample of the same size, the color space conversion method using the proposed samples showed a lower color difference for color conversions using either neural or regression.

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Adaptive Saturation Enhancement Algorithm on Normalized YCbCr color space (Normalized YCbCr 색 공간에서의 적응적 채도 향상 방법)

  • 옥현욱;최원희;김창용
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.385-388
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    • 2003
  • In this paper, we propose a new saturation enhancement algorithm which is processed on the new color space, called Normalized YCbCr(NYCbCr). The algorithm consists of two processing unit. One is color space conversion from YCbCr to NYCbCr, and the other is using adaptive saturation mapping function(ASMF). NYCbCr color space is designed to prevent shortcomings such as luminance and hue shift of YCbCr color space and by saturation enhancement. ASMF is effective to enhance saturation properly for each image and to protect low saturation regions of color images from over-saturation. we verified our method using several color images. Experimental results show that the proposed method enhance the saturation with minimizing Luminance and Hue shift.

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A Study on the Characteristics of Color for Peter Eisenman Architecture (피터 아이젠만 건축의 색채사용특성에 관한 연구)

  • Lee, Seon-Min;You, Yeon-Sook
    • Korean Institute of Interior Design Journal
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    • v.18 no.2
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    • pp.61-70
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    • 2009
  • Architectural color would be understood as a essential tool to be reflected the architect's value criteria, thinking process and the specific methodology. This study was established the characteristics of color use correlated with Eisenman's architectural features based on his point of view. At first, it could be organized with data and use the color in view points with the becomming process. Especially it would be expressed the color as a trace of unsynchronized formation. Second, it was introduced the color by graphics engaged with form, to be expressed the dividing, folding, reiteration for deliver of escape from graphic thinking process. Third, it was analyzed to be imported the color to have a multi-lateral space experience in center of user's space recognition and behavior by introduction of color. Finally, it could be inducted the consistent color by viewpoint of interfacial between interior and exterior environment, communicated with strong meaning by conversion from interior elements to color from these processes. A characteristics of Eisenman's architecture color is reflected his thinking process in architecture color as it is and can be understand of 'becomming process use of color' as a tool that is corresponded in form creation. Specially, it would be kept continuous viewpoint of interior and exterior space, giving user color as a viewpoint of linking space, enable many-sidedness experiences through space.