Optical Review

, Volume 24, Issue 3, pp 406–415 | Cite as

Gradient-norm-based histogram equalization taking account of HSV color space distribution

  • Yoshiaki Ueda
  • Takanori Koga
  • Hideaki Misawa
  • Noriaki Suetake
  • Eiji Uchino
Regular Paper


In the present paper, we propose an image contrast enhancement method that can enhance the contrast of a color image naturally by taking account of a color space shape. The proposed method realizes the natural enhancement based on two kinds of intensity histograms: a gradient-norm-based histogram and an ideal histogram derived from the shape of a color space. The former histogram is used to suppress over-enhancement in the flat regions of an image and the latter histogram is used to prevent the whole image from being darken. Concretely, the aforementioned intensity histograms are appropriately mixed into a histogram with a weight based on the average intensity of the input image. The contrast enhancement of the input image is realized using the cumulative histogram of the mixed histogram as an intensity transform function. To verify the validity of the proposed method, in experiments, the proposed method is applied to a variety of images and experimental results are evaluated qualitatively and quantitatively.


Histogram equalization Histogram specification Contrast enhancement Gradient norm 


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Copyright information

© The Optical Society of Japan 2017

Authors and Affiliations

  • Yoshiaki Ueda
    • 1
  • Takanori Koga
    • 2
  • Hideaki Misawa
    • 3
  • Noriaki Suetake
    • 1
  • Eiji Uchino
    • 1
  1. 1.Yamaguchi UniversityYamaguchiJapan
  2. 2.National Institute of TechnologyTokuyama CollegeShunanJapan
  3. 3.National Institute of TechnologyUbe CollegeUbeJapan

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