Determination of color samples uniformly distributed in printer gamut and its application to color reproduction

프린터 색역에 균등한 분포를 갖는 색표본 생성 및 색재현

  • Lee, Cheol-Hee (Dept. of Computer Engineering, Kyungwoon University) ;
  • Kim, Hee-Soo (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Ahn, Suk-Chul (Dept. of Graphic Arts Information, Pukyong National University) ;
  • Ha, Yeong-Ho (School of Electronic and Electrical Engineering, Kyungpook National University)
  • 이철희 (경운대학교 컴퓨터공학과) ;
  • 김희수 (경북대학교 전자전기공학부) ;
  • 안석출 (부경대학교 인쇄정보공학과) ;
  • 하영호 (경북대학교 전자전기공학부)
  • Published : 2000.09.25

Abstract

This paper proposes a color sample selection method that produces a uniform distribution in the display gamut plus a color reproduction method for using a uniform color sample In contrast to the conventional method, the proposed uniform color samples are selected m CIELAB, a device-independent color space, instead of RGB (red, green, and yellow) or CMY (cyan, magenta, and yellow) space, device-dependent color spaces To evaluate the performance of the proposed color samples, they were applied to color space conversion using both a regression model and neural network As a result, in the case of a color sample of the same size, the color space conversion method using the proposed samples showed a lower color difference for color conversions using either neural or regression.

본 논문에서는 출력 장치의 색역에 대하여 균일한 분포를 갖는 색표본(color sample) 생성 방법을 제안하고, 이를 이용한 색재현 방법을 소개한다. 즉 기존의 방법인 RGB(red, green, and blue) 혹은 CMY(cyan, magenta, yellow) 등 장치 의존형 색공간에서 균일한 색표본을 선택하는 것이 아니라 장치 독립형 균등 색공간인 CIELAB공간에서 균등 색표본을 선택하는 방법을 제안한다 또한 제안된 색표본의 성능을 평가하기 위하여 회귀 모델과 신경망을 이용한 색공간 변환을 수행하였다 동일한 크기의 색표본의 경우, 제안된 색표본을 이용한 색공간 변환 방법이 신경망, 회귀 모델 모두에서 색차를 줄일 수 있었다.

Keywords

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