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Proceedings Paper

Algorithm of image enhancement based on order morphological filtering and image entropy difference
Author(s): Jian-nan Chi; Dong-shu Wang; Peng-xin Zeng; Xin-he Xu
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Paper Abstract

According to correlative conception and properties of order morphology transformation, non-linear weighted mean value filter is constructed to remove high frequence noise such as noise of Gaussian and impulse. Then an approximated midpoint value filter which can reject uniformly distributed noise is given by improving weighted mean value filter. Based on above, a new image enhancement algorithm is proposed. Within this algorithm, weighted mean value of the image about structuring elements of different directions is calculated and used to identify edge of image; Local average value and entropy difference is applied to control enhancement coefficients. So the target and edge of image are elevated while high frequence noise of image is restrained. The comparison of average value, standard deviation and image entropy between enhanced image and its original illustrates that contrast of image is also improved.

Paper Details

Date Published: 3 November 2005
PDF: 8 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60431W (3 November 2005); doi: 10.1117/12.654940
Show Author Affiliations
Jian-nan Chi, Ministry of Education (China)
Dong-shu Wang, Northeastern Univ. (China)
Peng-xin Zeng, Northeastern Univ. (China)
Xin-he Xu, Northeastern Univ. (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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