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Wavelet image denoising algorithm based on local adaptive wiener filtering

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3 Author(s)
Li Dan ; Sch. of Electr. Eng. & Inf., Anhui Univ. of Technol., Maanshan, China ; Wang Yan ; Fang Ting

There are many interference noise in industrial site, it affect the image quality of industry seriously. In view of these question, this paper demonstrate a wavelet image denoising algorithm based on local Wiener filtering with directional windows to replace the traditional denoising methods. Consider the direction of each wavelet sub-band, this algorithm use different shapes of the neighborhood window in different sub-band to estimated the variance of wavelet coefficients, the algorithm is applied to the detection of the blast furnace's looking-fire-hole image. Experimental results show that the proposed method obtain good results in both the Gaussian image denoising and keep the details of image.

Published in:

Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on

Date of Conference:

19-22 Aug. 2011