Wavelet image denoising algorithm based on local adaptive wiener filtering

摘要

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.