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3D Video Quality Improvement for 3D TV using Color Compensation

색상 보정을 통한 3차원 TV의 입체영상 화질 개선

  • Jung, Kil-Soo (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Kang, Min-Sung (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Kim, Dong-Hyun (School of Electrical and Electronic Engineering, Yonsei University) ;
  • Sohn, Kwang-Hoon (School of Electrical and Electronic Engineering, Yonsei University)
  • 정길수 (연세대학교 전기전자공학과) ;
  • 강민성 (연세대학교 전기전자공학과) ;
  • 김동현 (연세대학교 전기전자공학과) ;
  • 손광훈 (연세대학교 전기전자공학과)
  • Received : 2010.08.26
  • Accepted : 2010.11.23
  • Published : 2010.11.30

Abstract

In this paper, we have studied the color compensation method for 3D that enables 3D color presentation similar to 2D. The color compensation method uses the difference of color presentation in 2D and 3D mode. First, the RGB I/O relationship curve was derived in 2D and 3D mode based on the input RGB color bar images. The relationship was modeled in modified power-law forms. Based on the modeling information, we generated color mapping tables, which can be used for compensating the difference of colors. The proposed color mapping block can be added at the output block of a 3DTV system, where the 2D content can be bypassed but the 3D content RGB data can be processed using the color mapping table. The experimental results show that the proposed method improves color presentation of a 3DTV system using a proper color compensation based on 2D presentation.

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.

Keywords

References

  1. Christoph Fehn, "3D TV Broadcasting," Fraunhofer Institute for Telecommunications/Heinrich-Hertz-Institute, 2005.
  2. 정제창, "고화질 3DTV 실험방송의 추진," 방송공학회지, 제15권 제1호, pp. 8-10, 2010.
  3. 전자신문인터넷, "3DTV 화질 '밝기.명암비' 챙겨라," May. 17. 2010.
  4. M. D. Fairchild, Color Appearance Models, 2nd ed., Addison-Wesley: Reading, MA, 2005.
  5. Steering Team 4-3D Displays 3D@Home consortium, "3D Active Shutter Glasses Database," Sept. 24. 2009.
  6. Eric Reinhard, Erum Arif Khan, Ahmet Oguz Akyuz, Garrett M. Johnson, Color Imaging Fundamentals and Applications, 2008.
  7. G. Buchsbaum, "A spatial processor model for object colour perception," J. Frank. Inst., Vol. 310, 1980.
  8. Lam, E. Y., "Combining gray world and retinex theory for automatic white balance in digital photography," Consumer Electronics, (ISCE 2005). pp. 134-139, June 2005.
  9. J. van de Weijer, T. Gevers, A. Gijsenij, "Edge-Based Color Constancy," IEEE Transactions on Image Processing, Vol. 16, No. 9, Sep, 2007.
  10. 이상훈, 유영준, "화면표시 장치 및 그의 화질 개선방법," 공개특허 10-2009-0041994, Oct. 25. 2007.
  11. Steve Hullfish, Jaime Fowler, Color Correction for Digital Video, 2007.
  12. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed., 2009.
  13. Minsung Kang, Bongjoe Kim, Kwanghoon Sohn, "CIECAM02-based tone mapping technique for color image contrast enhancement," Optical engineering 48(8), 087001, Aug. 2009. https://doi.org/10.1117/1.3191785
  14. http://www.ewallpapers.eu/

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  1. Study of Change of Fatigue and Visual Function before and after Viewing 2D and 3D at Near Distance vol.22, pp.2, 2017, https://doi.org/10.14479/jkoos.2017.22.2.119