A novel retinex based approach for image enhancement with illumination adjustment

Retinex based algorithms have been widely used among in image enhancement. Since many retinex based algorithms remove illumination and regard the reflectance as enhancement, over-enhancement and unnaturalness are inevitable. In this paper, a novel retinex based image enhancement using illumination a...

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Bibliographic Details
Published in2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1190 - 1194
Main Authors Xueyang Fu, Ye Sun, Minghui LiWang, Yue Huang, Xiao-Ping Zhang, Xinghao Ding
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2014
Subjects
alternating direction optimization
Color
Computational modeling
Histograms
illumination adjustment
Image edge detection
Image enhancement
Lighting
retinex
variational framework
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Summary:Retinex based algorithms have been widely used among in image enhancement. Since many retinex based algorithms remove illumination and regard the reflectance as enhancement, over-enhancement and unnaturalness are inevitable. In this paper, a novel retinex based image enhancement using illumination adjustment is proposed. Different from existing variational retinex models, a new model without the logarithmic transformation is established and can well preserve the edge. A fast alternating direction optimization method is used to solve this problem. After the decomposition of illumination and reflectance, a simple and effective post-processing method for illumination adjustment is adopted for the enhancement to make the result more natural. The proposed method can deal with many kinds of image, such as high dynamic range (HDR) images and non-uniform illumination images. Experimental results illustrate that the naturalness can be preserved while details are enhanced by the presented new approach.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2014.6853785