標題: Image enhancement approach using the just-noticeable-difference model of the human visual system
作者: Lee, Chang-Hsing
Lin, Pei-Ying
Chen, Ling-Hwei
Wang, Wei-Kang
多媒體工程研究所
Institute of Multimedia Engineering
公開日期: 1-七月-2012
摘要: 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. (C) 2012 SPIE and IS&T. [DOI: 10.1117/1.JEI.21.3.033007]
URI: http://dx.doi.org/10.1117/1.JEI.21.3.033007
http://hdl.handle.net/11536/16944
ISSN: 1017-9909
DOI: 10.1117/1.JEI.21.3.033007
期刊: JOURNAL OF ELECTRONIC IMAGING
Volume: 21
Issue: 3
結束頁: 
顯示於類別:期刊論文


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