• Title/Summary/Keyword: color gain

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Color matching using dot gain and intensity compensation for different substrates (점이득 보정과 명도 보정을 이용한 서로 다른 매질 사이의 색정합)

  • 이철희;이채수;김경만;하영호
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.34S no.5
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    • pp.73-85
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    • 1997
  • In a drop-on-demand thermal ink-jet printer, the dot size of an ink droplet expelled from a printer depends on the absorption of the paper. This causes severe differences between output images on the different paper materials. In this paper, the color matching algorithm for different papers is proposed. To achieve corresponding color reproduction, dot gain compensatio nbased on saturation was applied to predict color reproduction on a printer. If the dot gain of pigment increases, the white portion of paper decreases while the saturation value increases monotonically. As the results of dot gain compensation, intensity change may appear. Therefore, an intensity compensation without any hue variation is followed to match the colors of different subtrates.

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A Study on Application of UCR, GCR in Printing (인쇄물의 UCR, GCR 적용에 관한 연구)

  • Lee, Cheul-Soung;Koo, Chul-Whoi
    • Journal of the Korean Graphic Arts Communication Society
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    • v.22 no.2
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    • pp.83-100
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    • 2004
  • In this paper, the quantity of dot gain in off-set printing is estimated by using the method of UCR(under color removal) and GCR(gray component replacement) and the degree of dot gain is researched through measurement of dot coverage of each color patch at the output film that is variously applied to discretionary quantity of dot gain each line in screen in the printing for the process of color separation and at the offset printing. Also, the best appropriate quantity of dot gain treatment is examined by printing each line in screen for reproduction of colors.

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A new automatic white balance algorithm using non-linear gain (Non-linear gain을 적용한 Automatic White Balance기법)

  • Yun, Se-Hwan;Kim, Jin-Heon
    • Proceedings of the KIEE Conference
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    • 2006.04a
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    • pp.27-29
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    • 2006
  • In this paper, we propose a new method of automatic white balance which is one of the image signal processing techniques. Our method is conceptually based on gray world assumption. However, while previous methods generate linear results as multiplying pixel values by a gain, our method generates non-linear results using the feature of B-Spline curves. The two merits of deriving non-linear results are preventing AWB failure from transforming strong color of high level into wrong color and well preserving original contrast of an input image.

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Analysis of Non-linearity Characteristic of GOCI (COMS 해양탑재체의 비선형성 특성 분석)

  • Kang, Geum-Sil;Youn, Heong-Sik
    • Aerospace Engineering and Technology
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    • v.8 no.2
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    • pp.1-7
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    • 2009
  • The Geostationary Ocean Color Imager (GOCI) is under development to provide a monitoring of ocean-color around the Korean Peninsula from geostationary platforms. It is planned to be loaded on Communication, Ocean, and Meteorological Satellite (COMS) of Korea. In this study, the radiometric model of GOCI, which is constructed based on the functional model of sub-system, is introduced. Non-linearity for each channel is analyzed in terms of linear gain and nonlinear gain by using the radiometric model. The non-linearity characteristic is validated by using test data which have been achieved during ground test at payload level. The non-linearity $G^3$/b shows identical characteristic for all channels.

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A Study on the Color Reproduction Characteristic of Original Copy in Display Device (디스플레이 장치에서 인쇄원고의 컬러 재현특성에 관한 연구)

  • Cho, Ga-Ram;Koo, Chul-Whoi
    • Journal of the Korean Graphic Arts Communication Society
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    • v.23 no.1
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    • pp.65-75
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    • 2005
  • An accurate characterization of the display device is essential for better color matching. The calibration and characterization process in display device is needed to transform the device dependent color to the device independent color. The process of characterization performs a linearization and transforms the linearized values into the CIE XYZ tristimulus values. The purposes of this paper is to propose optimal color transformation method for accurate reproduction of original copy in display device and to explain the propriety of transformation method using specific variable for the power of gradation expression.

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Adaptive White Point Extraction based on Dark Channel Prior for Automatic White Balance

  • Jo, Jieun;Im, Jaehyun;Jang, Jinbeum;Yoo, Yoonjong;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.6
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    • pp.383-389
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    • 2016
  • This paper presents a novel automatic white balance (AWB) algorithm for consumer imaging devices. While existing AWB methods require reference white patches to correct color, the proposed method performs the AWB function using only an input image in two steps: i) white point detection, and ii) color constancy gain computation. Based on the dark channel prior assumption, a white point or region can be accurately extracted, because the intensity of a sufficiently bright achromatic region is higher than that of other regions in all color channels. In order to finally correct the color, the proposed method computes color constancy gain values based on the Y component in the XYZ color space. Experimental results show that the proposed method gives better color-corrected images than recent existing methods. Moreover, the proposed method is suitable for real-time implementation, since it does not need a frame memory for iterative optimization. As a result, it can be applied to various consumer imaging devices, including mobile phone cameras, compact digital cameras, and computational cameras with coded color.

A White Balance System for PDP TV (PDP TV에서 인간 시각을 고려한 최적의 White Balance 구현)

  • 정기백;구본철
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.363-366
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    • 2003
  • We propose the system that automatically adjusts the white balance on display products to a standard value according to several nations. We replace manual or semi-auto method with fully automatic method using windows application program. And we use RS-232C serial interface to communicate PC with display products which we want to adjust white balance. The PC generates patterns for measuring color information and Color Analyzer measures color and brightness. This value is transmitted through RS-232C serial interface to PC. The PC's algorithm analyzes this information and then decides which RGB Gain value is best for optimal white balance. This RGB Gain value is transmitted through RS-232C serial interface to display products. The modified color value is measured again and feed back to PC. This sequence is repeated until optimum white balance is obtained.

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Effect of Environmental Color on the Eating Behaviour in Broiler Chicks (色彩環境이 肉鷄의 攝食行動에 미치는 影響)

  • Song, Young-Han;Ko, Byeong-Dae;Chung, Ji-Dong
    • Journal of Animal Environmental Science
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    • v.2 no.2
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    • pp.111-116
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    • 1996
  • An experiment was carried out to study the effect of environmental color on the eating behaviour in broiler chicks. A total of ninety broilers with average 350g of initial body weight were randomly assigned in the $3{\times}3$ randomized complete block design with 3 treatments(yellow, blue, red) and 10 birds per replication of various environmental color at walls, feeders and electric bulbs. The results obtained from these experiments are summarised as follows: 1. Feed Intake and average daily gain were significantly(P<0.05) increased by yellow colored environment. 2. Eating time and eating rate were significantly higher in the red colored than the other, indicating that yellow colored environment would maximize body weight gain and feed conversion for broiler chicks.

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Multi-View Color Video and Depth Map Coding based on HEVC (HEVC 기반 다시점 컬러 영상 및 깊이 정보 맵 부호화 방법)

  • Yoo, Sun-Mi;Nam, Jung-Hak;Lim, Woong;Sim, Dong-Gyu;Cheong, Won-Sik;Hur, Nam-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.2
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    • pp.83-93
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    • 2012
  • This paper proposes a method to efficiently encode multi-view color videos and depth maps. The proposed coding method for multi-view color videos and depth maps can improve the coding efficiency by additional inter-view prediction, as well as inter-frame prediction. By means of the proposed method, we achieved the coding gain of approximately 55% for 2-view color videos and approximately 12% for 2-view depth maps. For 3-view case, we found that the proposed system yields 54% of coding gain from outer view color videos and 56% of coding gain from center view color videos, respectively. Moreover, for 3-view depth map case, approximately 11% of coding gain from outer view and 13% of coding gain from center view are obtained with the proposed coder, respectively.

Novel Auto White Balance Algorithm Using Adaptive Color Sampling Based on $CIEL^*a^*b^*$ color space for Mobile Phone Camera ($CIEL^*a^*b^*$ 색 공간에서 적응적 컬러 샘플링을 이용한 Mobile Phone 카메라용 자동화이트 밸런스 알고리즘)

  • Kim, Kyung-Rin;Son, Kyoung-Soo;Ha, Joo-Young;Kim, Sang-Choon;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.8
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    • pp.1356-1362
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    • 2008
  • In this paper. we propose a novel auto white balance algorithm which is one of the representative functions on cameras. White balance is the process of removing unrealistic color casts, which will make the captured white objects appear white. For white balance, we employ $CIEL^*a^*b^*$ color space which is the most complete color model available and is conventionally used to describe all the colors visible to the human eye and estimate the color difference on white objects with distribution of the image which is called the reference white estimation. For accuracy, we form groups or sets of pixels that are altered by the light sources and other elements. Moreover, Standard group is decided by judgment of specific-case images with the information of groups. Then, the reference white estimation is performed by the color sampling which is to choose all the accumulated pixels contained within the standard group. The color gain for image compensation by considering the color saturation is also computed. the proposed algorithm provides a significant performance.