• Journal of Digital Contents Society
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• v.19 no.7
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• pp.1397-1403
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• 2018

Today, modern people perceive skin care as part of their physical health care, and acne is a common skin disease problem that is found on the face. In this paper, an effective acne detection algorithm using CIE $L^*a^*b^*$ color space has been proposed. It is red when the pixel value of the component image $a^*$ is a positive number, so it is suitable for detecting acne in skin image. First, the skin image based on the RGB color space is subjected to light compensation through color balancing, and converted into a CIE $L^*a^*b^*$ color space. The extracted component image $a^*$ was normalized, and then the skin and acne area were estimated with the threshold values. Experimental results show that the proposed method detects acne more effectively than the conventional method based on brightness information, and the proposed method is robust against the reflected light source.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.10
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• pp.5056-5078
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• 2018

In this work we propose a compression technique that makes use of linear and perceptually uniform CIE $La^*b^*$ color space in the JPEG image compression framework to improve its performance at lower bitrates. To generate quantization matrices suitable for the linear and perceptually uniform CIE $La^*b^*$ color space, a novel linear Contrast Sensitivity Function (CSF) is used. The compression performance in terms of Compression Ratio (CR) and Peak Signal to Noise Ratio (PSNR), is further improved by utilizing image dependent, variable and non-uniform image sub-blocks generated using a proposed histogram-based merging technique. Experimental results indicate that the proposed linear CSF based quantization technique yields, on an average, 8% increase in CR for the same reconstructed image quality in terms of PSNR as compared to the conventional YCbCr color space. The proposed scheme also outperforms JPEG in terms of CR by an average of 45.01% for the same reconstructed image quality.

• 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.

• Proceedings of the IEEK Conference
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• 2003.07e
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• pp.1827-1830
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• 2003

본 논문은 인간의 Perception을 기준으로 인간이 구분할 수 있는 다양한 Display들의 Color Gamut 체적들을 정량적으로 평가하는 방법을 제안하였다. 기존의 Color Gamut의 크기를 구하는 방법은 CIE-u'v' 좌표계에서 R, G, B Primaries의 좌표에 해당하는 꼭지점으로 이루어진 삼각형의 넓이를 구함으로써 표현할 수 있는 Color의 개수를 구하였다 그러나 이 방법은 CIE-UCS Chart 자체가 2 Dimension이고, Non-Uniform Color Space이므로 정확하게 구했다고 할 수 없다. 이를 해결하기 위하여 본 논문에서는 Uniform Color Space 인 CIE-L/sup */a/sup */b/sup */ 좌표계에서 3 차원 공간에서 Color의 개수를 구함으로써, 구분할 수 있는 Color Gamut의 체적을 인간의 Perception을 기준으로 평가하는 정량적인 기법에 대해 논하였고, 이를 4종류의 다양한 Display Type들에 적용, 그 결과를 비교하였다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.48 no.5
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• pp.37-44
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• 2011

This paper proposes a confusion-line separating algorithm in a CIE Lab color space using color segmentation for protanopia and deuteranopia. Images are segmented into regions by grouping adjacent pixels with similar color information using the hue components of the images. To this end, the region growing method and the seed points used in this method are the pixels that correspond to peak points in hue histograms that went through a low pass filter. In order to establish a color vision deficiency (CVD) confusion line map, we established 512 virtual boxes in an RGB 3-D space so that boxes existing on the same confusion line can be easily identified. After that, we checked if segmented regions existed on the same confusion line and then performed color adjustment in an CIE Lab color space so that all adjacent regions exist on different confusion lines in order to provide the best color identification effect to people with CVDs.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2020.11a
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• pp.64-65
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• 2020

With the modernization fund of the government, construction of new passenger ships make the level of interior design is improved, but the space where the crew is working is still inadequate. This study is to investigate the color environment of the Bridge Deck and Engine Room among working spaces of passenger ships. It aims to improve the mental health of crews and set up a safe working environment by presenting color design, and suggest the specificity of ship's working space and color value with matching the color environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.60
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• pp.47-55
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• 2000

Two experiments were conducted to examine the relationships between the color structure and the user preference of a CNS (Car Navigation System) digital map in terms of HSE (Human Sensibility Ergonomics). In the first experiment, the user's preference of color structures were investigated from the subjects' self-designed digital maps using a CNS digital map UIMS (User Interface Management System): in the second, statistical relation models between the user's color structure satisfaction level and the color components of CIE (Commission Internationale de ι'Eclairage) of the real products were suggested. For each experiment, CIE L*u*v* and CIE LCH color space were adapted, respectively, because they have their own characteristics of perceptual uniformity which enables the color components to transform a linear function.

• Textile Coloration and Finishing
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• v.29 no.4
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• pp.268-275
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• 2017

As the substitute of synthetic coloring materials for hair dyeing, we selected some natural ones of three primary colors such as sappan wood, logwood(red), gardenia blue(blue) and amur cork tree(yellow). Mixed colorants and metallic mordanting technique were used to widen the color space of dyed samples. In view of similarity in morphological and chemical structure, wool was adopted as the reference material for human hair to evaluate the color properties of hair dyeing. The color properties of the dyed samples were evaluated by using CIE $L^*a^*b^*$ and Munsell color systems. The addition of an alum or ferrous mordants was effective to expand the color space of hair and to increase the colorfastness to washing and light more than the rating of 1. Displaying the dyed samples by using Munsell color system, better linearity of hue values between the dyed samples of wool and human hair was shown when alum mordant was used.

• The KIPS Transactions:PartB
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• v.9B no.1
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• pp.129-138
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• 2002

In this paper, a distance measuring algorithm for motion capture using color stereo camera is proposed. The color markers attached on articulations of an actor are captured by stereo color video cameras, and color region which has the same color of the marker's color in the captured images is separated from the other colors by finding dominant wavelength of colors. Color data in RGB (red, green, blue) color space is converted into CIE (Commission Internationale del'Eclairage) color space for the purpose of calculating wavelength. The dominant wavelength is selected from histogram of the neighbor wavelengths. The motion of the character in the cyber space is controlled by a program using the distance information of the moving markers.

• Journal of KIISE
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• v.42 no.10
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• pp.1294-1302
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• 2015

A lot of image quality assessment metrics that can precisely reflect the human visual system (HVS) have previously been researched. The Structural SIMilarity (SSIM) index is a remarkable HVS-aware metric that utilizes structural information, since the HVS is sensitive to the overall structure of an image. However, SSIM fails to deal with color difference in terms of the HVS. In order to solve this problem, the Structural and Hue SIMilarity (SHSIM) index has been selected with the Hue, Saturation, Intensity (HSI) model as a color space, but it cannot reflect the HVS-aware color difference between two color images. In this paper, we propose a new image quality assessment method for a color image by using a CIE Lab color space. In addition, by using a support vector machine (SVM) classifier, we also propose an optimization system for applying optimal metric according to the types of distortion. To evaluate the proposed index, a LIVE database, which is the most well-known in the area of image quality assessment, is employed and four criteria are used. Experimental results show that the proposed index is more consistent with the other methods.