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Proceedings Paper

Fractional differential image enhancement based on space weight
Author(s): Zhonghua Wang; Qingqiang Kuang; Dengwei Wang; Jianguo Liu
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Paper Abstract

The theoretical analysis shows that fractional differential can greatly improve high frequency, reinforce medium frequency and non-linearly preserve low frequency of signals, hence they could be used for edge and texture enhancement as well as smooth area preservation.In this paper, a new covering template and algorithm for fractional differential image enhancement based on space weight (Fdsw) are discussed. Firstly, pixel neighbourhood relations are acquired from adopting Caputo and Riemann-Liouville fractional differential. Secondly,covering template coefficients of space weight are constructed in accordance with pixel neighbourhood relations. Constructing fractional differential template holds isotropic characteristic, and covering template coefficients are indispensable to renormalize. Finally, covering template moves on the unprocessed image point by point, then corresponding pixel value is summed. Experiments show that the new method has excellent feedback for enhancing the textural details of rich-grained digital images.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74950E (30 October 2009); doi: 10.1117/12.831413
Show Author Affiliations
Zhonghua Wang, Huazhong Univ. of Science and Technology (China)
Nanchang Hangkong Univ. (China)
Qingqiang Kuang, Jiangxi Normal Univ. (China)
Dengwei Wang, Huazhong Univ. of Science and Technology (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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