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Image Contrast Enhancement Based on a Multi-Cue Histogram
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 Title & Authors
Image Contrast Enhancement Based on a Multi-Cue Histogram
Lee, Sung-Ho; Zhang, Dongni; Ko, Sung-Jea;
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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.
 Keywords
Image contrast enhancement;Histogram equalization;Multi-cue histogram;
 Language
English
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