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Journal of Electronic Imaging

Image enhancement approach using the just-noticeable-difference model of the human visual system
Author(s): Chang-Hsing Lee; Pei-Ying Lin; Ling-Hwei Chen; Wei-Kang Wang
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Paper Abstract

The low-contrast images taken by digital cameras or camera phones are not always satisfactory due to the limitation of the capturing devices or improper illumination/exposure conditions. Conventional image contrast enhancement methods may either fail to produce satisfactory and undistorted images, or they cannot improve every region of interest appropriately, especially faces. In this paper, a histogram equalization (HE) approach exploiting the just-noticeable-difference (JND) model of the human visual system (HVS), denoted by JND-HE, is proposed for generic image contrast enhancement. Further, the proposed JND-HE approach is combined with the exposure correction (EC) method (denoted by JND-HE-EC) for face image enhancement. The proposed JND-HE-EC approach can improve the contrast in face regions and provide proper illumination in the background. Experimental results on both generic images and faces have shown that our proposed approach can produce more pleasing and appealing enhanced images than other methods.

Paper Details

Date Published: 13 July 2012
PDF: 15 pages
J. Electron. Imaging. 21(3) 033007 doi: 10.1117/1.JEI.21.3.033007
Published in: Journal of Electronic Imaging Volume 21, Issue 3
Show Author Affiliations
Chang-Hsing Lee, Chung Hua Univ. (Taiwan)
Pei-Ying Lin, National Chiao Tung Univ. (Taiwan)
Ling-Hwei Chen, National Chiao Tung Univ. (Taiwan)
Wei-Kang Wang, National Chiao Tung Univ. (Taiwan)


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