• Title/Summary/Keyword: CIE color space

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Construction of Confusion Lines for Color Vision Deficiency and Verification by Ishihara Chart

  • Cho, Keuyhong;Lee, Jusun;Song, Sanghoon;Han, Dongil
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.4
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    • pp.272-280
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    • 2015
  • This paper proposes color databases that can be used for various purposes for people with a color vision deficiency (CVD). The purpose of this paper is to group colors within the sRGB gamut into the CIE $L^*a^*b^*$ color space using the Brettel algorithm to simulate the representative colors of each group into colors visible to people with a CVD, and to establish a confusion line database by comparing colors that might cause confusion for people with different types of color vision deficiency. The validity of the established confusion lines were verified by using an Ishihara chart. The different colors that confuse those with a CVD in an Ishihara chart are located in the same confusion line database for both protanopia and deutanopia. Instead of the 3D RGB color space, we have grouped confusion colors to the CIE $L^*a^*b^*$ space coordinates in a more distinctive and intuitive manner, and can establish a database of colors that can be perceived by people with a CVD more accurately. Editor - Highlight - Do these changes reflect the intended meaning? If not, please rephrase as intended.

Color Image Segmentation Using Adaptive Quantization and Sequential Region-Merging Method (적응적 양자화와 순차적 병합 기법을 사용한 컬러 영상 분할)

  • Kwak, Nae-Joung;Kim, Young-Gil;Kwon, Dong-Jin;Ahn, Jae-Hyeong
    • Journal of Korea Multimedia Society
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    • v.8 no.4
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    • pp.473-481
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    • 2005
  • In this paper, we propose an image segmentation method preserving object's boundaries by using the number of quantized colors and merging regions using adaptive threshold values. First of all, the proposed method quantizes an original image by a vector quantization and the number of quantized colors is determined differently using PSNR each image. We obtain initial regions from the quantized image, merge initial regions in CIE Lab color space and RGB color space step by step and segment the image into semantic regions. In each merging step, we use color distance between adjacent regions as similarity-measure. Threshold values for region-merging are determined adaptively according to the global mean of the color difference between the original image and its split-regions and the mean of those variations. Also, if the segmented image of RGB color space doesn't split into semantic objects, we merge the image again in the CIE Lab color space as post-processing. Whether the post-processing is done is determined by using the color distance between initial regions of the image and the segmented image of RGB color space. Experiment results show that the proposed method splits an original image into main objects and boundaries of the segmented image are preserved. Also, the proposed method provides better results for objective measure than the conventional method.

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Color Look-Up Table Design for Gamut Mapping and Color Space Conversion (색역 사상과 색공간 변환을 위한 칼라 참조표 설계)

  • 김윤태;조양호;이호근;하영호
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.2
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    • pp.1-10
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    • 2004
  • This paper proposes the method that design CLUT(color look-up table) simultaneously processing gamut mapping and color space conversion using only CLUT without complex computation. After CLUT is constructed using scanner gamut and printer gamut, the scanner gamut is extended to include original scanner gamut. This extended scanner gamut is used as input CIE $L^{*}$ $a^{*}$ $b^{*}$ values for CLUT. Then CMY values are computed by using gamut mapping. Input RGB image of scanner is converted into CIE $L^{*}$ $a^{*}$ $b^{*}$ by using regression function. CIE $L^{*}$ $a^{*}$ $b^{*}$ values of scanner are converted into CMY values without computation of additional gamut mapping using the proposed CLUT. In the experiments, the proposed method resulted in the similar color difference, but reduced the complexity computation than the direct computing method to process gamut mapping and color space conversion respectively.espectively.ively.

A Study on the Color Management using sRGB Standard Color Space (sRGB 표준색공간을 이용한 컬러매니지먼트에 관한 연구)

  • Kim, Dong-Koun;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.37-51
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    • 2005
  • The solution way of color difference in display device is using a device profile recorded with color dimension, color properties of each device and is using sRGB color space. The color matching is better sRGB than RGB color space. The sRGB is independent device color space and based on the monitor characteristice. An accurate characterization of the display device is essential for 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 linerizaiton and transforms the linearized values into the CIE XYZ tristimulus values. The purposes of this paper is to estimate color reproduction using device profile and to explain the propriety of transformation method using variable.

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Adaptive Color Shifter for RGB Channel Unbalance in Organic Light Emitting Diode Display (OLED Display의 RGB 채널간 불균형 보정을 위한 Adaptive Color Shifter)

  • Cho, Ho-Sang;Jang, Kyoung-Hoon;Kim, Chang-Hun;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.8
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    • pp.1653-1662
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    • 2012
  • Recently, Organic Light Emitting Diode (OLED) that is broadly applied as next generation display has various advantages. However, OLED display causes unbalanced color tone due to the difference of luminance efficiency among luminous elements. In this paper, we propose adaptive color shifter (ACS) to resolve the RGB channel unbalance and to have wide color range of a relatively weak channel using the image processing method. proposed ACS system was simulated using a variety of image. Also, we numerically analyzed using hue histogram, CIE-1931 xyz color space.

Color Matching Method for Stitching Machine (자수로봇을 위한 컬러매칭방법)

  • 이희만;김지영;서정만
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.2
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    • pp.82-87
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    • 2003
  • In this paper, the color matching algorithm is Proposed for stitching machine. The matched embroidery color threads are selected by using the proposed algorithm from a computer files which is designed on the computer or scanned from the drawings designed by an artist. The proposed algorithm finds the best matching nearest colors from the given embroidery color threads . The multiple candidates owing to have the equal distance in the CIE color space are further processed to find nearest dominant color. The color dithering method will be useful for reproducing original design with high fidelity.

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Optimized hardware implementation of CIE1931 color gamut control algorithms for FPGA-based performance improvement (FPGA 기반 성능 개선을 위한 CIE1931 색역 변환 알고리즘의 최적화된 하드웨어 구현)

  • Kim, Dae-Woon;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.6
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    • pp.813-818
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    • 2021
  • This paper proposes an optimized hardware implementation method for existing CIE1931 color gamut control algorithm. Among the post-processing methods of dehazing algorithms, existing algorithm with relatively low computations have the disadvantage of consuming many hardware resources by calculating large bits using Split multiplier in the computation process. The proposed algorithm achieves computational reduction and hardware miniaturization by reducing the predefined two matrix multiplication operations of the existing algorithm to one. And by optimizing the Split multiplier computation, it is implemented more efficient hardware to mount. The hardware was designed in the Verilog HDL language, and the results of logical synthesis using the Xilinx Vivado program were compared to verify real-time processing performance in 4K environments. Furthermore, this paper verifies the performance of the proposed hardware with mounting results on two FPGAs.

A study on Color Management Application in Digital Image (디지털 이미지의 컬러 매니지먼트 적용에 관한 연구)

  • Cho, Young-Kwon;Koo, Chul-Whoi;Cho, Ga-Ram
    • Journal of the Korean Graphic Arts Communication Society
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    • v.22 no.2
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    • pp.163-178
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    • 2004
  • In this study, the CIE RGB color space which was one of the most popular device-dependent application program in digital image processing was adopted to make the profile with the device information. The profile was applied to the digital image of a JPEG file format. The result was compared with the color reproduction of another digital image of a JPEG file format, which was made in the e-sRGB color space that had the color spaces allocated to each reproduced color of an image and device-independent colors. In this way it was investigated which color space was more appropriate for digital image processing for web printing and if the e-sRGB color space was good as a color management tool that didn't depend on a device in processing a digital image for web printing.

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Color Image Saturation enhancement algorithm using CIE $L^{\ast}U^{\ast}V^{\ast}$ color space (CIE $L^{\ast}U^{\ast}V^{\ast}$를 이용한 컬러 이미지 Saturation 향상 알고리즘)

  • Jo, Young-Sim;Cho, Hwa-Hyun;Choi, Myung-Ryul
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.371-374
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    • 2005
  • A novel Color Image Saturation enhancement method to strengthen video images without producing oversaturated or color contour artifacts is proposed in this paper. Based on the luminance information, the relations between luminance levels and maximum chrominance vectors in each subcolor are generated for each pixel, so that the upper bound of the allowed saturation factor for a pixel can be derived, and much vivid video image can be achieved

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Forest Fire Detection and Identification Using Image Processing and SVM

  • Mahmoud, Mubarak Adam Ishag;Ren, Honge
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.159-168
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    • 2019
  • Accurate forest fires detection algorithms remain a challenging issue, because, some of the objects have the same features with fire, which may result in high false alarms rate. This paper presents a new video-based, image processing forest fires detection method, which consists of four stages. First, a background-subtraction algorithm is applied to detect moving regions. Secondly, candidate fire regions are determined using CIE $L{\ast}a{\ast}b{\ast}$ color space. Thirdly, special wavelet analysis is used to differentiate between actual fire and fire-like objects, because candidate regions may contain moving fire-like objects. Finally, support vector machine is used to classify the region of interest to either real fire or non-fire. The final experimental results verify that the proposed method effectively identifies the forest fires.