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Proceedings Paper

Adaptive Wiener filter based on wavelet transform
Author(s): Wenruo Bai; Baofeng Zhang; Qianqian Bai
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Paper Abstract

This paper presents a new method for image filtering process, an adaptive Wiener filter, which is based on wavelet transform. The filter provided uses threshold mode filtering as its precursor. The pertinence between wavelet coefficients is taken into consideration in the process of determining the threshold quantities, which makes the filter adaptive. The result of the threshold mode filter is then processed by Wiener filtering model. The whole image filtering system is composed of threshold mode filtering based on wavelet transform as well as Wiener filtering technique. What's more, the performance is also an important subject. And it gives a better smooth filtering result.

Paper Details

Date Published: 15 November 2007
PDF: 6 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864N (15 November 2007); doi: 10.1117/12.747721
Show Author Affiliations
Wenruo Bai, Tianjin Univ. of Technology (China)
Baofeng Zhang, Tianjin Univ. of Technology (China)
Qianqian Bai, Tianjin Institute of Urban Construction (China)


Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition

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