• 제목/요약/키워드: Color Mapping

검색결과 260건 처리시간 0.026초

장치 특성을 고려한 밝기 사상 및 색역 사상 (Lightness and Chroma Mapping Consider the Device Characteristic)

  • 박양우;이채수;엄태억;장주석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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    • pp.143-146
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    • 2000
  • In this paper, luminance mapping for uniform color distribution and gamut mapping for maximum chroma reproduction are proposed. In the conventional lightness mapping, the average lightness difference between the two gamut is increased and different color changes in bright and dark regions are also increased. To solve these problems, a lightness mapping is proposed that minimizes the lightness difference of the cusps at each hue angle and produces same color changes in bright and dark regions. Also, chroma mapping that utilize variable anchor point and an anchor point are proposed for maximum chroma reproduction and uniform color change. The proposed algorithm reduce a sudden color change on the gamut boundary of the printer and to maintain a uniform color change during the mapping process. Accordingly, the proposed algorithm can reproduce high quality images with low-cost color devices.

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가상의 3차원 CIELAB 등거리 색표본을 이용한 색역사상 (Color gamut mapping using fictive 3-D CIELAB equidistance sample)

  • 오현수;곽한봉;이철희;서봉우;안석출
    • 한국인쇄학회지
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    • 제19권2호
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    • pp.58-67
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    • 2001
  • Gamut mapping is a technique that acts on cross-media color reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device- independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

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디지털 소프트 칼라 교정인쇄를 위한 새로운 색역 사상방법에 관한 연구 (A study on the new gamut mapping method for digital soft color proofing)

  • 송경철;강상훈
    • 한국인쇄학회:학술대회논문집
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    • 한국인쇄학회 2002년도 춘계 학술발표회
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    • pp.10-18
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    • 2002
  • On the process of cross-media color reproduction, a key feature is the use of gamut mapping techniques to adjust the different color gamuts between displays and printers. Even though a number of GMAs have been published, but there are no method satisfactory enough for more exect color reproduction. In this paper, the gamut mapping methods of nearest point clipping(NPC), centroid clipping (SLIN), straight clipping and cusp clipping(CUSP) were tested and analyzed with color difference, and a new gamut mapping algorithm based on variable anchor point method was proposed.

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가상의 3차원 CIELAB 등거리 색표본을 이용한 색역사상 (Color gamut mapping using fictive 3-D CIELAB equidistance sample)

  • 곽한봉;오현수;이철희;서봉우;안석출
    • 한국인쇄학회:학술대회논문집
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    • 한국인쇄학회 2000년도 추계학술발표회 논문집
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    • pp.0.3-0
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    • 2000
  • Gamut mapping is a technique that acts on cross-media reproduction to transform a color between devices for the purpose of enhancing the appearance or preserving the appearance of an image. Gamut mapping essentially produces color conversion error which depends the gamut mapping method, source and destination devices, and sample points for gamut modeling. For color space conversion between monitor colors and printer colors, empirical representation using sample measurements is currently widely utilized. Color samples are uniformly selected in the device space such as CMY or RGB, represented as color patches, and then measured. However, in the case of printer, these color samples are not evenly distributed inside the printer gamut and the color conversion error is increased. Accordingly, this paper introduces a equally distributed color sampling method in CIELAB space, a device-independent color space, to reduce color conversion error, and the performance is analyzed via color space conversion experiments using tetrahedral interpolation.

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시각적 색일치를 위한 확장된 비선형 양자화와 색역매핑을 이용한 칼라 프린팅 (Color Printing Using Expanded Nonlinear Quantization and Color Gamut Mapping for Visual Color Constancy)

  • 이채수;김경만;이철희;하영호
    • 한국감성과학회:학술대회논문집
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    • 한국감성과학회 1997년도 한국감성과학회 연차학술대회논문집
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    • pp.146-151
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    • 1997
  • Recntly many devics print electronic images in a variety of ways. But the reproduced color, gamut mappung method and expanded nonlinear quantization are proposed. The color gamut mapping uses saturation mapping of HSI color space. Dithering operation for printing uses expanded nonlinear quantization which considers overlapping phenomena of neighboring printing dots. So the printed image is similar to the image of monitor and can produce high quality image in the low bit color devices.

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COSMO-SkyMed 2 Image Color Mapping Using Random Forest Regression

  • Seo, Dae Kyo;Kim, Yong Hyun;Eo, Yang Dam;Park, Wan Yong
    • 한국측량학회지
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    • 제35권4호
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    • pp.319-326
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    • 2017
  • SAR (Synthetic aperture radar) images are less affected by the weather compared to optical images and can be obtained at any time of the day. Therefore, SAR images are being actively utilized for military applications and natural disasters. However, because SAR data are in grayscale, it is difficult to perform visual analysis and to decipher details. In this study, we propose a color mapping method using RF (random forest) regression for enhancing the visual decipherability of SAR images. COSMO-SkyMed 2 and WorldView-3 images were obtained for the same area and RF regression was used to establish color configurations for performing color mapping. The results were compared with image fusion, a traditional color mapping method. The UIQI (universal image quality index), the SSIM (structural similarity) index, and CC (correlation coefficients) were used to evaluate the image quality. The color-mapped image based on the RF regression had a significantly higher quality than the images derived from the other methods. From the experimental result, the use of color mapping based on the RF regression for SAR images was confirmed.

균일한 색 변화를 위한 밝기 사상과 최대 채도 재현을 위한 색역 사상 (Lightness Mapping for Uniform Color Change and Gamut Mapping for Maximum Chroma Reproduction)

  • 박양우;이채수;하영호
    • 대한전자공학회논문지SP
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    • 제38권4호
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    • pp.371-380
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    • 2001
  • 본 논문에서는 균일한 색 분포를 위한 밝기 사상과 최대 색도 재현을 위한 색역 사상 방법을 제안한다. 기존의 밝기 사상시 발생하는 두 색역에서의 평균 밝기의 차이의 증가 및 어두운 영역과 밝은 영역에서의 색 변화의 차이가 증가하는 문제를 해결하기 위하여 각 색상의 정점에서의 밝기 차이를 최소화하고 밝은 영역과 어두운 영역에서의 균일한 색 분포를 가지는 밝기 사상 방법을 제안하였다. 또한, 최대 채도 유지 및 균일 색 분포를 위한 가변 닻점과 고정 닻점을 혼합으로 사용하는 색역 사상 방법을 제안하였다. 따라서 저가의 칼라 출력장치에서 고화질의 칼라를 재현할 수 있게 한다.

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색상 보정을 통한 3차원 TV의 입체영상 화질 개선 (3D Video Quality Improvement for 3D TV using Color Compensation)

  • 정길수;강민성;김동현;손광훈
    • 방송공학회논문지
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    • 제15권6호
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    • pp.757-767
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    • 2010
  • 본 논문은 3차원 TV 시청에 있어서, 2차원에서와 같은 색감을 최대한 제공하기 위한 방법을 연구하였다. 이를 위하여 입력 RGB 색상 막대(color bar) 영상을 기준으로 2차원과 3차원 재생시 재현되는 RGB 강도의 입출력 관계를 모델링하였으며, 이를 근거로 2차원 대비 보정되어야 할 3차원 색상 사상표(mapping table)를 생성하였다. 생성된 사상표를 기존 3차원 TV 시스템의 출력부에 추가하여, 일반 2차원 재생시에는 입력 영상을 우회(bypass)하도록 하고, 3차원 재생시 색상 보정 과정을 수행하도록 하여 3차원 재생시에도 2차원에서 느낄 수 있는 색감을 재현할 수 있도록 하였다.

잉크젯 복합기를 위한 칼라 참조 테이블 설계 (Color Look-Up Table for Multi-Function Printer)

  • 김윤태;조양호;이호근;하영호
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.1759-1762
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    • 2003
  • This paper proposes the method that design CLUT(color look-up table) simultaneously processing gamut mapping and color space conversion using only LUT without complex computation. After we construct LUT composed of scanner gamut and printer gamut, we extend L$\^$*/a$\^$*/b$\^$*/ points based on input L$\^$*/a$\^$*/b$\^$*/ to include input scanner L$\^$*/a$\^$*/b$\^$*/ Input RGB image of scanner is converted into CIEL$\^$*/a$\^$*/b$\^$*/ using regression (unction. CIELAB values of scanner are convened into CMY values including gamut mapping processing without additional gamut mapping using the proposed CLUT. In the experiments, the proposed method resulted in the similar color difference, but reduced the complexity computation compared with processing gamut mapping and color space conversion respectively

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0.3T MRI 시스템에서의 동.정맥 동시 획득을 위한 자기공명 혈류 영상 기법(SAAV)과 동.정맥 color mapping (MR Angiography with Simultaneous Data Acquisition of Arteries and Veins(SAAV) Method and Artery-Vein Color Mapping in 0.3T MRI System)

  • 조종운;조지연;서성만;은충기;문치웅
    • 대한의용생체공학회:의공학회지
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    • 제24권4호
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    • pp.275-280
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    • 2003
  • 일반적으로 MR Angiography(MRI)는 사전 포화방법(presaturation)을 이용하여 동맥과 정맥의 분리된 영상을 획득한다. 하지만 이러한 일반적인 사전포화방법으로 동맥과 정맥영상을 획득하기 위해서는 두 번의 영상획득이 필요하다. 따라서 본 연구에서는 동맥과 정맥의 구분된 영상을 한번의 영상획득으로 얻을 수 있는 SAAV 기법을 0.3T MRI system에 적용하고, 획득한 동맥과 정맥의 두 MRA 영상을 Colot-Mapping으로 동$.$정맥을 한 영상에 구분하여 나타냄으로써 0.3T MRI system에서 MRI의 임상적 적용 및 활용 가능성을 높이고자 하였다. 마산 삼성병원의 0.3T MRI system (Magfinder, AILab. Korea)어서 SAAV sequence를 이용하여 정상적인 피험자로부터 목 부위의 동맥과 정맥 혈관영상 (volume : 256${\times}$256${\times}$64)을 동시에 얻었다. 그리고. 이들의 각 2D 영상들에서 위치정보를 획득한 후 MIP 기법과 Color Mapping으로 조합하여 3D Artery-Vein Color Mapping(AVCM) MRA 영상으로 재구성하였다.