Improving local Wiener filtering using matched filter
Marian Kazubek · IEE Proceedings - Vision Image and Signal Processing · 2006
A new approach to local Wiener filtering in the presence of Gaussian noise is presented. The two-step denoising algorithm is formulated. In the first step, standard local Wiener filtering is applied. The output of the first step is used for the construction of the matched filter, which enables us to better estimate the signal energy. The signal energy estimate is then used for the construction of the improved local Wiener filter. The performance of this method, using the dual-tree complex wavelet transform, is evaluated. The results obtained are comparable with the best in the literature but at a significant smaller computational cost.