• Title/Summary/Keyword: RGB Color

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A Mobile Color-compensating Application using RGB Color Compensation Algorithm (RGB 색 보정 알고리즘을 활용한 모바일 색 보정 애플리케이션)

  • Kwak, Ki Hyun;Jun, Yong Chan;Choi, Sul In;Shin, Hee Jung;Hwang, Sung Soo
    • Journal of Korea Multimedia Society
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    • v.19 no.12
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    • pp.1936-1942
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    • 2016
  • This paper presents a mobile color-compensating application using a RGB color compensation algorithm. The proposed application enables color vision deficiencies to differentiate images which cannot be distinguished by them. The suggested mobile application has two functions: converting images taken by camera and converting contents in the device screen. The proposed application is computationally inexpensive, since it does not require color space transformation. Simulation results show that the proposed application enables color vision deficiencies to receive information expressed by colors such as subway line maps.

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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Human Hand Detection Using Color Vision (컬러 시각을 이용한 사람 손의 검출)

  • Kim, Jun-Yup;Do, Yong-Tae
    • Journal of Sensor Science and Technology
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    • v.21 no.1
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    • pp.28-33
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    • 2012
  • The visual sensing of human hands plays an important part in many man-machine interaction/interface systems. Most existing visionbased hand detection techniques depend on the color cues of human skin. The RGB color image from a vision sensor is often transformed to another color space as a preprocessing of hand detection because the color space transformation is assumed to increase the detection accuracy. However, the actual effect of color space transformation has not been well investigated in literature. This paper discusses a comparative evaluation of the pixel classification performance of hand skin detection in four widely used color spaces; RGB, YIQ, HSV, and normalized rgb. The experimental results indicate that using the normalized red-green color values is the most reliable under different backgrounds, lighting conditions, individuals, and hand postures. The nonlinear classification of pixel colors by the use of a multilayer neural network is also proposed to improve the detection accuracy.

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.

Wide Color Gamut Reproduction Methods for RGB Laser Display (RGB 레이저 디스플레이의 광역 컬러 재현 방법)

  • 신윤철;김일도;이상진;김문철
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1755-1758
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    • 2003
  • 색 재현 범위(Color Gamut)가 기존의 표준신호(예 sRGB, Rec. 709)대비 상이한 Laser 디스플레이 장치에서 Gamut Matching Algorithm을 이용하여 표준 컬러의 재현을 가능하게 하고, CRT 대비 광범위한 Laser Color Gamut 의 모든 색 영역을 표현 할 수 있다. 이 방법은 일정한 휘도 및 hue 에서 표준입력과 출력장치의 색 재현 범위에 따라 주어진 입력신호의 Chroma를 늘이거나, 줄임으로써 출력장치의 전 색 재현 범위를 사용할 수 있게 된다.

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A Study for Color and Illuminance Control Algorithm of Broadcast LED Lighting (방송용 LED 조명의 광색과 조도 제어 알고리즘에 대한 연구)

  • Shin, Dong-Seok;Park, Chul-Hyung;Park, Chong-Yeun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.29 no.11
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    • pp.6-17
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    • 2015
  • In this paper, colors of broadcast lightings composed of Red, Green, and Blue LED(Light Emitted Diode) can be linearly and quantitatively controlled in low illuminance. Because LED cannot emit uniform illuminance in low illuminance, the colors of RGB LED are unmixable. Furthermore, the illuminances are nonlinear with the dimming values of the RGB LED due to the nonlinearity of the output illuminance with the current through the LED. This nonlinearity generated errors of the target colors and illuminances. The proposed algorithm set up the target colors, which is expressed by the color coordinates in CIE 1931 color space, and the target illuminances. Then the illuminances of RGB LED were calculated using color mixing theory. The calculated illuminances determined the dimming values of the RGB LED for transmission via DMX512 communication. After the broadcasting lighting received the dimming values of the RGB LED via DMX512 communication,.RGB LED can emit target color and illuminance, and be controlled by calculating the PWM(Pulse Width Modulation) duty ratio of the hybrid LED driver which be considered the nonlinearity for the illuminances of the LED. As a result, the proposed algorithm can linearly and quantitatively control the colors and illuminances in full range of illuminance. Then we verify experimentally that the errors of the emitted color coordination x, y and illuminance are 2.27%, 3.6% and 1.5%, respectively.

Reference white setting based on brightness of CPT and resolution (수상관의 밝기 및 해상도를 고려한 기준 백색 설정)

  • 최덕규;김주동;권기룡;안상호;이건일;송규익
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.2
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    • pp.334-343
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    • 1997
  • Reference white in color television receiver can be achieved by adjusting the RGB gun current ratio and it is necessary to provide additional gain ratio adjustment for the RGB video signal. Generally, the gun current density profile has a gaussian distribution and the gain-bandwidth product of RGB channel amplifieris constant. Therefore brightness and spatial resolution are changed with variations in reference white of receiver. In this paper, the effect of RGB gun current and channel gain ratios on brightness and resolution of CPT is analyzed. Brightness is increased with the color temperature of referenc white because of Helmholtz-kohlrausch effect. The change in ligh output is more abrupt and spatial resolution is improved with unity current ratio. For more bright and improved ressolution we also present the range of color temperature of reference white for P22 phosphors.

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Multiple Pedestrians Detection and Tracking using Histogram and Color Information from a Moving Camera (이동 카메라 영상에서 히스토그램과 컬러 정보를 이용한 다수 보행자 검출 및 추적)

  • 임종석;곽현욱;김욱현
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.41 no.5
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    • pp.193-202
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    • 2004
  • This paper presents a novel histogram and color information based algorithm for detecting and tracking multiple pedestrians from a moving camera. In the proposed method, RGB color histogram is used to detect adjacent pedestrians and RGB mean value is used to track detected pedestrians. Therefore, our algorithm detect contiguous or a few occluded pedestrians and track in case pedestrian's shape change. The experimental results on our test sequences demonstrate the high efficiency of our method.

Information Hiding Method based on Interpolation using Max Difference of RGB Pixel for Color Images (컬러 영상의 RGB 화소 최대차분 기반 보간법을 이용한 정보은닉 기법)

  • Lee, Joon-Ho;Kim, Pyung-Han;Jung, Ki-Hyun;Yoo, Kee-Young
    • Journal of Korea Multimedia Society
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    • v.20 no.4
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    • pp.629-639
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    • 2017
  • Interpolation based information hiding methods are widely used to get information security. Conventional interpolation methods use the neighboring pixel value and simple calculation like average to embed secret bit stream into the image. But these information hiding methods are not appropriate to color images like military images because the characteristics of military images are not considered and these methods are restricted in grayscale images. In this paper, the new information hiding method based on interpolation using RGB pixel values of color image is proposed and the effectiveness is analyzed through experiments.

Text Detection and Binarization using Color Variance and an Improved K-means Color Clustering in Camera-captured Images (카메라 획득 영상에서의 색 분산 및 개선된 K-means 색 병합을 이용한 텍스트 영역 추출 및 이진화)

  • Song Young-Ja;Choi Yeong-Woo
    • The KIPS Transactions:PartB
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    • v.13B no.3 s.106
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    • pp.205-214
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    • 2006
  • Texts in images have significant and detailed information about the scenes, and if we can automatically detect and recognize those texts in real-time, it can be used in various applications. In this paper, we propose a new text detection method that can find texts from the various camera-captured images and propose a text segmentation method from the detected text regions. The detection method proposes color variance as a detection feature in RGB color space, and the segmentation method suggests an improved K-means color clustering in RGB color space. We have tested the proposed methods using various kinds of document style and natural scene images captured by digital cameras and mobile-phone camera, and we also tested the method with a portion of ICDAR[1] contest images.