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http://dx.doi.org/10.5573/IEIESPC.2015.4.5.349

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)
Publication Information
IEIE Transactions on Smart Processing and Computing / v.4, no.5, 2015 , pp. 349-353 More about this Journal
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.
Keywords
Image contrast enhancement; Histogram equalization; Multi-cue histogram;
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