IEIE Transactions on Smart Processing and Computing

The Institute of Electronics and Information Engineers (대한전자공학회)
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Image Contrast Enhancement Based on a Multi-Cue Histogram

  • Lee, Sung-Ho (School of Electrical Engineering, Korea University) ;
  • Zhang, Dongni (School of Electrical Engineering, Korea University) ;
  • Ko, Sung-Jea (School of Electrical Engineering, Korea University)
  • Received : 2015.07.15
  • Accepted : 2015.08.09
  • Published : 2015.10.31
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Abstract

The conventional intensity histogram does not indicate edge information, which is important in the perception of image contrast. In this paper, we propose a multi-cue histogram (MCH) to represent a collaborative distribution of both the intensity and the edges of an image. Based on the MCH, if the intensity values have high frequency and a large gradient magnitude, they are spread into a larger dynamic range. Otherwise, the intensity values are not strongly stretched. As a result, image details, such as edges and textures, can be enhanced while artifacts and noise can be prevented, as demonstrated in the experimental results.

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References

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