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Dehazing in HSI Color Space with Color Correction

HSI 색 공간 색상 보정을 이용한 안개 제거 알고리즘

  • Received : 2012.12.17
  • Accepted : 2013.03.07
  • Published : 2013.03.30

Abstract

The haze removal algorithm using median dark channel prior is an efficient and fast method with relatively accurate transmission estimation. However, conventional methods may produce color distortion since the method ignores the color mismatch between estimated airlight and actual airlight. In this paper, we propose a color correction with measuring color fidelity in the HSI color space. Experimental results show that the proposed algorithm gives better color correction scheme.

Median Dark Channel Prior를 이용하여 안개를 제거하는 방법은 비교적 빠르고 정확한 전달량 맵을 만들어 안개를 제거한다. 그러나 기존의 안개 제거 알고리즘은 RGB 색 공간에서 수행되기 때문에 색상의 왜곡 오류가 생긴다. 본 논문에서는 HSI 색 공간에서 안개 영상의 색상의 정확도를 측정하여 색상의 왜곡을 보정하는 방법을 제안한다. 실험을 통해 제안된 방법은 기존 방법으로 안개 제거 시 색상이 왜곡 되는 현상을 현저히 감소시켰다.

Keywords

References

  1. S. K. Nayar and S. G. Narasimhan, "Vision in bad weather," ICCV, page 820, 1999.
  2. Z. Rahman, D. J. Jobson, and G. A. Woodell, "Multi-scale retinex for color image enhancement", In Proceedings, International Conference on Image Processing, volume 3, pages 1003-1006, June 1996. Held in Lausanne, Switzerland 16-19 September 1996.
  3. E. D. Pisano, S. Zong, B.M. Hemminger, M. DeLuca, R. E. Johnston, K. Muller, M.P. Braeuning, S. M. Pizer, "Contrast limited adaptive histogram equalization image processing to improve the detection of simulated spiculations in dense mammograms", J. Digital Imaging 11 193-200. 1998 https://doi.org/10.1007/BF03178082
  4. Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar, "Instant dehazing of images using polariztion," CVPR, 1:325, 2001.
  5. S. G. Narasimhan and S. K. Nayar, "Chromatic framework for vision in bad weather," CVPR, pages 598-605, 2000.
  6. J. Kopf, B. Neubert, B. Chen, M. Cohen, D. Cohen-Or, O. Deussen, M. Uyttendaele, and D. Lischinski, "Deep photo: Model-based photograph enhancement and viewing," SIGGRAPH Asia, 2008.
  7. Robby T. Tan, "Visibility in bad weather from a single image", 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1 -8, June.
  8. R. Fattal, "Single image dehazing," in SIGGRAPH, pages 1-9, 2008.
  9. K. He, J. Sun, and X. Tang, "Single image haze removal using dark channel prior," in IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2009), pages 1956-1963, 2009.
  10. K. Gibson, D. Vo, and T. Nguyen, "An investigation in dehazing compressed images and video", Proceedings of IEEE OCEANS Conference (OCEANS'10), Sep. 2010.
  11. E. H. Land, "The retinex theory of color vision," SCI. Amer., vol. 237, no. 6, pp.451-462, Mar. 1997.
  12. J. A. Nairn, "Materials science and Engineering 5473," 2003.
  13. Greenfield Sluder and David E. Wolf (2007). "IV. Young's Experiment: Two-Slit Interference". Digital microscopy (3rd ed.). Academic Press. p. 15. ISBN 0-12-374025-8.

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