전자공학회논문지 IE

The Institute of Electronics and Information Engineers (대한전자공학회)
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Weight based Histogram Modification for Contrast Enhancement

명암도 향상을 위한 가중치 기반 히스토그램 수정

  • 김영로 (명지전문대학 컴퓨터정보과) ;
  • 동성수 (용인송담대학 디지털전자과)
  • Received : 2010.07.13
  • Published : 2010.09.25
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Abstract

In this paper, an efficient contrast enhancement algorithm using weighted histogram modification is proposed. For contrast enhancement, histogram equalization (HE) and histogram stretching (HS) are effective techniques. However, HE and HS may have excessive contrast enhancement. Proposed method using weighted histogram modification produces better natural and enhanced results than those of conventional contrast enhancement methods without artifacts.

본 논문에서는 효율적인 명암도 향상 알고리즘으로 가중치 히스토그램 수정을 제안한다. 명암도 향상을 위하여 히스토그램 평활화와 히스토그램 스트레칭은 효과적인 방법들이다. 하지만, 히스토그램 평활화와 히스토그램 스트레칭은 지나친 명암도 향상을 가져올 수 있다. 가중치 히스토그램 수정을 이용하는 제안하는 방법은 부작용 없이 기존 명함도 향상하는 방법들 보다 자연스럽고 향상된 결과를 가진다.

Keywords

References

  1. S. A. Stark, "Adaptive image contrast enhancement using generalizations of histogram equalization," IEEE Trans. Consum. Electron., vol. 9, no. 5, pp. 889-896, May 2000.
  2. J. –Y. Kim, L. –S. Kim, and S. –H. Hwang, "An advanced contrast enhancement using partially overlapped sub-block histogram equalization," IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 4, pp. 475-484, Apr. 2001. https://doi.org/10.1109/76.915354
  3. Y. –T. Kim, "Enhancement using brightness preserving bi-histogram equalization," IEEE Trans. Consum. Electron., vol. 43, no. 1, pp. 1-8, Feb. 1997. https://doi.org/10.1109/30.580378
  4. Y. Wang, Q. Chen, and B. Zhang, "Image enhancement based on equal area dualistic sub-image histogram equalization method," IEEE Trans. Consum. Electron., vol. 45, no. 1, pp.68-75, Feb. 1999. https://doi.org/10.1109/30.754419
  5. T. –K. Kim, J. –K. Paik, and B. –S. Kang, "Contrast enhancement system using spatially adaptive histogram equalization with temporal filtering," IEEE Trans. Consum. Electron., vol. 44, no. 1, pp.82-86, Feb. 1998. https://doi.org/10.1109/30.663733
  6. Z. Y. Chen, B. R. Abidi, D. L. Page, and M. A. Abidi, "Gray-level grouping (GLG): An automatic method for optimized image contrast enhancement-Part I: The basic method," IEEE Trans. Image Process., vol. 15, no. 8, pp. 2290-2302, Aug. 2006.
  7. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd. Englewood Cliffs. NJ: Prentice-Hall, 2002.
  8. Adobe System, Inc., Adobe Magazine May/Jun. 2000.
  9. T. Arici, S. Dikbas, and Y. Altunbasak, "A histogram modification framework and its application for image contrast enhancement," IEEE Trans. Image Process., vol. 18, no. 9, pp. 1921-1935, Sep. 2009.
  10. K. Matkovic, L. Neumann, A. Neumann, T. Psik, W. Purgathofer, "Global contrast factor-a new approach to image contrast," in Computational Aesthetics in Graphics, Visualization and Imaging 2005, pp.159-168, May 2005.
  11. Y. Zhao and X. Wu, "A new algorithm approach for contrast enhancement," to be appeared in Proc. of the 11th European Conference on Computer Vision, Sep., 2010.