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Proceedings Paper

Adaptive Lee enhancement algorithm for processing drop_quality image
Author(s): Xinsai Wang; Jing He; Xue Li; Ming He
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Paper Abstract

In order to transform image contrast and enhance vision effect the enhancement processing of image is need in the system of object recognition and automatic target tracking. The methods of image enhancement are more, for example, linearity, line segment, nonlinear, histogram equalization, histogram normalization, power exponent, local gray-level statistic feature and so on. Through analyzing gradient characteristic of image gray-level, in this paper the method of image enhancement is presented based on the local statistic arithmetic of neighborhood grads even. Experiment results show the correctness and utility of this method.

Paper Details

Date Published: 14 November 2007
PDF: 5 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891Z (14 November 2007); doi: 10.1117/12.746016
Show Author Affiliations
Xinsai Wang, Air Defense Forces Command Academy (China)
Jing He, Air Defense Forces Command Academy (China)
Xue Li, Huazhong Univ. of Science and Technology (China)
Ming He, Air Defense Forces Command Academy (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)

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