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Proceedings Paper

Application of wavelet on floating-object image processing
Author(s): Jiangan Wang; Jiayou Zhang; Zengjun Ye
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Paper Abstract

Images, photographed through a submarine periscope, are ambiguous because of submarine periscope light path energy dissipation and bad conditions. With wavelet and Mallat algorithm, we can remove image noise and enhance image edge. The processing efficient is not very good because the most optimum adjusting coefficients are not used in wavelet reconstruction. In this paper, we utilize the Orthogonal Experiment Design to optimize adjusting coefficients in enhancing edge and removing noises. Experiments show that the results are better.

Paper Details

Date Published: 25 September 1998
PDF: 4 pages
Proc. SPIE 3545, International Symposium on Multispectral Image Processing (ISMIP'98), (25 September 1998); doi: 10.1117/12.323554
Show Author Affiliations
Jiangan Wang, Naval Academy of Engineering (China)
Jiayou Zhang, Academy of Transportation Engineering (China)
Zengjun Ye, Naval Academy of Engineering (China)


Published in SPIE Proceedings Vol. 3545:
International Symposium on Multispectral Image Processing (ISMIP'98)
Ji Zhou; Anil K. Jain; Tianxu Zhang; Yaoting Zhu; Mingyue Ding; Jianguo Liu, Editor(s)

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