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Global and Local Contrast Adaptive Enhancement for Non-Uniform Illumination Color Images

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QiChongTianICCV2017Workshop_CPCV.pdf (828.3Kb)
Date
2017
Dewey
Traitement du signal
Sujet
Histograms; Color: Image color analysis; Lighting; Distortion; Adaptive equalizers; Brightness
DOI
http://dx.doi.org/10.1109/ICCVW.2017.357
Conference name
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Conference date
10-2017
Conference city
Venise
Conference country
Italy
Book title
Proceedings of the IEEE International Conference on Computer Vision Workshops
Publisher
Institute of Electrical and Electronics Engineers
URI
https://basepub.dauphine.fr/handle/123456789/20869
Collections
  • CEREMADE : Publications
Metadata
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Author
Tian, Qi-Chong
60 CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Cohen, Laurent D.
60 CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Type
Communication / Conférence
Item number of pages
8
Abstract (EN)
Color images captured by digital devices may contain some non-uniform illuminations. Many enhancement methods produce undesirable results in the aspect of contrast improvement or naturalness preservation. A global and local contrast enhancement method is proposed for adaptively enhancing the non-uniform illumination images. Firstly, a novel global contrast adaptive enhancement algorithm obtains the global enhancement image. Secondly, a huepreserving local contrast adaptive enhancement algorithm produces the local enhancement image. Finally, a contrast-brightness-based fusion algorithm obtains the final result, which represents a trade-off between global contrast and local contrast. This method improves the visual quality and preserves the image naturalness. Experiments are conducted on a dataset including different kinds of non-uniform illumination images. Results demonstrate the proposed method outperforms the compared enhancement algorithms both qualitatively and quantitatively.

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