Adaptive Wiener filter based on wavelet transform

Wenruo Bai; Baofeng Zhang; Qianqian Bai

doi:10.1117/12.747721

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15 November 2007 Adaptive Wiener filter based on wavelet transform

Wenruo Bai, Baofeng Zhang, Qianqian Bai

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Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864N (2007) https://doi.org/10.1117/12.747721
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

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Wenruo Bai, Baofeng Zhang, and Qianqian Bai "Adaptive Wiener filter based on wavelet transform", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864N (15 November 2007); https://doi.org/10.1117/12.747721

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