• Title/Summary/Keyword: RGB color image

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Model-Based Color- Image Halftoning Algorithm Using Dot-Pattern Database (도트 패턴 데이터 베이스를 이용한 모델 기반 칼라 영상 중간조 알고리즘)

  • Kim, Kyeong-Man;Song, Kun-Woen;Min, Gak;Kim, Jeong-Yeop;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.2
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    • pp.208-217
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    • 2001
  • Model-based color image halftoning method using dot-pattern database is proposed for low-resolution color image printing. Dot-pattern database used in the proposed method is based on Blue-Noise Mask. The database consists of dot-patterns constructed by circular dot-overlap model according to each color value. In halftoning procedure, input color value is reproduced as the dot-pattern selected to minimize the difference between the color values of the original image and those of the printed image. Also, the contrast sensitivity function as a human visual model is used to improve the perceived quality of the printed image in dot-pattern selection. Thus, the proposed method can substantially reproduce the color values of the pixels in original image and obtain better image quality. In the experiment, the proposed method has less ΔΕ/Sub ab/ between the original image in monitor and the printed one than that of ED and BNM halftoning. This result approves that the proposed method reproduces better image quality.

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The Manufacture of Color Filter for Liquid Crystal Display by Screen Printing Method (Screen인쇄법에 의한 Liquid Crystal Display용 Color Filter 제작)

  • 손세모
    • Journal of the Korean Graphic Arts Communication Society
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    • v.13 no.1
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    • pp.39-55
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    • 1995
  • There has been an enormous emergence of imaging systems dedicated to hardcopy and softcopy color-appearance comparisons. Pre-press industry use the CRT as a soft proofing device to preview and aid with color corrections and changes before producing the final printed image. Color DTP system is required an accurate image-matching between CRT-image and printed image. In other to develop the color DTP,CRT calibration and CRT color transform to CIE color system are necessary. In this paper, we described a method CRT color transform to CIELab color system using RGB image raw data. Experimental results show that described method is useful valid of color image matching.

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Development of Apple Color Grading System by Statistical Color Image Processing

  • Lim, Dong-Hoon
    • Communications for Statistical Applications and Methods
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    • v.10 no.2
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    • pp.325-332
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    • 2003
  • This study was to develop a system for grading apples by their color using statistical image processing. T-test was used to detect edges in apple images and the chain code method was used for contour coding. The histogram and mean gray level of each RGB channel in a ring-shaped region was used to compare apple colors to reference apple color.

Depth Upsampler Using Color and Depth Weight (색상정보와 깊이정보 가중치를 이용한 깊이영상 업샘플러)

  • Shin, Soo-Yeon;Kim, Dong-Myung;Suh, Jae-Won
    • The Journal of the Korea Contents Association
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    • v.16 no.7
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    • pp.431-438
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    • 2016
  • In this paper, we present an upsampling technique for depth map image using color and depth weights. First, we construct a high-resolution image using the bilinear interpolation technique. Next, we detect a common edge region using RGB color space, HSV color space, and depth image. If an interpolated pixel belongs to the common edge region, we calculate weighting values of color and depth in $3{\times}3$ neighboring pixels and compute the cost value to determine the boundary pixel value. Finally, the pixel value having minimum cost is determined as the pixel value of the high-resolution depth image. Simulation results show that the proposed algorithm achieves good performance in terns of PSNR comparison and subjective visual quality.

Improved Haze Removal Algorithm by using Color Normalization and Haze Rate Compensation (색 정규화 및 안개량 보정을 이용한 개선된 안개 제거 알고리즘)

  • Kim, Jong-Hyun;Cha, Hyung-Tai
    • Journal of Broadcast Engineering
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    • v.20 no.5
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    • pp.738-747
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    • 2015
  • It is difficult to use a recognition algorithm of an image in a foggy environment because the color and edge information is removed. One of the famous defogging algorithm is haze removal by using 'Dark Channel Prior(DCP)' which is used to predict for transmission rate using color information of an image and eliminates fog from the image. However, in case that the image has factors such as sunset or yellow dust, there is overemphasized problem on the color of certain channel after haze removal. Furthermore, in case that the image includes an object containing high RGB channel, the transmission related to this area causes a misestimated issue. In this paper, we purpose an enhanced fog elimination algorithm by using improved color normalization and haze rate revision which correct mis-estimation haze area on the basis of color information and edge information of an image. By eliminating the color distortion, we can obtain more natural clean image from the haze image.

A study on color image compression using downscaling method and subsampling method (다운스케일링 기법과 서브샘플링 기법을 활용한 컬러 이미지 압축에 관한 연구)

  • Lee, Wan-Bum
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.20-25
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    • 2019
  • Most multimedia signals contain image data, so the problem of efficient processing and transmitting the image data is an important task of the information society. This paper proposes a compression algorithm that reduces the color bits according to importance using YUV color space among the various methods of compressing image data. 4: 2: 2 subsampling is the standard in the field of video. Using the color information and the characteristics of the human retina, YUV color data was reduced by 4: 2: 2 subsampling. The YUV images and RGB images can be interconverted using the transformation matrix. The image data was converted into color space by YUV, and the relatively low U and V bits were subjected to a downscaling operation. The data was then compressed through 4: 2: 2 subsampling. The performance of the proposed algorithm was compared and analyzed by a comparison with existing methods. As a result of the analysis, it was possible to compress the image without reducing the information of the low importance color element and without significant deterioration in the quality compared to the original.

Transparent Manipulators Accomplished with RGB-D Sensor, AR Marker, and Color Correction Algorithm (RGB-D 센서, AR 마커, 색수정 알고리즘을 활용한 매니퓰레이터 투명화)

  • Kim, Dong Yeop;Kim, Young Jee;Son, Hyunsik;Hwang, Jung-Hoon
    • The Journal of Korea Robotics Society
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    • v.15 no.3
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    • pp.293-300
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    • 2020
  • The purpose of our sensor system is to transparentize the large hydraulic manipulators of a six-ton dual arm excavator from the operator camera view. Almost 40% of the camera view is blocked by the manipulators. In other words, the operator loses 40% of visual information which might be useful for many manipulator control scenarios such as clearing debris on a disaster site. The proposed method is based on a 3D reconstruction technology. By overlaying the camera image from front top of the cabin with the point cloud data from RGB-D (red, green, blue and depth) cameras placed at the outer side of each manipulator, the manipulator-free camera image can be obtained. Two additional algorithms are proposed to further enhance the productivity of dual arm excavators. First, a color correction algorithm is proposed to cope with the different color distribution of the RGB and RGB-D sensors used on the system. Also, the edge overlay algorithm is proposed. Although the manipulators often limit the operator's view, the visual feedback of the manipulator's configurations or states may be useful to the operator. Thus, the overlay algorithm is proposed to show the edge of the manipulators on the camera image. The experimental results show that the proposed transparentization algorithm helps the operator get information about the environment and objects around the excavator.

Development of an Adult Image Classifier using Skin Color (피부색상을 이용한 유해영상 분류기 개발)

  • Yoon, Jin-Sung;Kim, Gye-Young;Choi, Hyung-Il
    • The Journal of the Korea Contents Association
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    • v.9 no.4
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    • pp.1-11
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    • 2009
  • To classifying and filtering of adult images, in recent the computer vision techniques are actively investigated because rapidly increase for the amount of adult images accessible on the Internet. In this paper, we investigate and develop the tool filtering of adult images using skin color model. The tool is consisting of two steps. In the first step, we use a skin color classifier to extract skin color regions from an image. In the nest step, we use a region feature classifier to determine whether an image is an adult image or not an adult image depending on extracted skin color regions. Using histogram color model, a skin color classifier is trained for RGB color values of adult images and not adult images. Using SVM, a region feature classifier is trained for skin color ratio on 29 regions of adult images. Experimental results show that suggested classifier achieve a detection rate of 92.80% with 6.73% false positives.

Using the CIELAB Color System for Soil Color Identification Based on Digital Image Processing (디지털 이미지 프로세싱 기반 토색 분석을 위한 CIELAB 색 표시계 활용 연구)

  • Baek, Sung-Ha;Park, Ka-Hyun;Jeon, Jun-Seo;Kwak, Tae-Young
    • Journal of the Korean Geotechnical Society
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    • v.38 no.5
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    • pp.61-71
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    • 2022
  • Soil color is used to determine soil classification and its physical, chemical, and biological properties. Visual determination is the most commonly used method for identifying soil color. However, it is subjective and, in many cases, non-repeatable. Digital image processing obtains useful information from digital images, accelerates soil classification, and enables the rapid identification of soil types in a field. This study develops a digital image processing-based soil color analysis technology that can consider irregular light conditions in the field. The digital image studio was designed to simulate the characteristics of natural light (illuminance and color temperature). Also, digital images of two soil samples (Jumoonjin sand and Anseong weathered soil) were captured under 12 different light conditions. For the RGB and CIELAB color systems, soil color intensities of 24 images were obtained using digital image processing. CIELAB was suitable for dealing with irregular light conditions in the field.

Effect of elevated temperatures on properties and color intensities of fly ash mortar

  • Wang, Her-Yung
    • Computers and Concrete
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    • v.5 no.2
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    • pp.89-100
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    • 2008
  • This research examines the engineering properties and color intensities of mortar containing different amounts of fly ash (0, 5, 10 and 20%) mixed at different water-to-binder ratios (w/b = 0.23, 0.47 and 0.59) and exposed at different temperatures (T = 25, 100, 200, 400, 600 and $800^{\circ}C$). Results show that there is greater mass loss on ignition with high w/b and higher temperatures. In addition, the color channel image analyzer (Windows software written in Delphi) is utilized to study the relationship between the curing temperature and intensity of three primary colors, red, green and blue (RGB), of the fly ash mortar specimens. The results show that the RGB intensities on the specimen surface increases from that at $25^{\circ}C$. The mortar specimen becomes white with increase in w/b but without the addition of fly ash. Moreover, for mortar specimens with greater content of fly ash, red on the specimen surface has the greatest increase in intensity at elevated temperature. Observation the variations in color on the specimen surface may help estimate the highest elevated temperatures that concrete structures can withstand.