Adaptive Wiener filter based on wavelet transform
2007
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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