Image enhancement approach using the just-noticeable-difference model of the human visual system

Chang-Hsing Lee; Pei-Ying Lin; Ling-Hwei Chen; Wei-Kang Wang

doi:10.1117/1.JEI.21.3.033007

13 July 2012 Image enhancement approach using the just-noticeable-difference model of the human visual system

Chang-Hsing Lee, Pei-Ying Lin, Ling-Hwei Chen, Wei-Kang Wang

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 3, 033007 (July 2012). https://doi.org/10.1117/1.JEI.21.3.033007

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.

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Chang-Hsing Lee, Pei-Ying Lin, Ling-Hwei Chen, and Wei-Kang Wang "Image enhancement approach using the just-noticeable-difference model of the human visual system," Journal of Electronic Imaging 21(3), 033007 (13 July 2012). https://doi.org/10.1117/1.JEI.21.3.033007

Published: 13 July 2012

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