Abstract

This paper presents a combined denoising method based on an adaptive Wiener filtering in the wavelet domain and an adaptive Wiener filter in the spatial domain. First a pre-denoised image is obtained with the thresholding denoising in the wavelet domain and the residual noise variance of that is re-estimated. Then an adaptive Wiener filtering in spatial domain is applied to the reconstructed image to improve the accuracy. Computer simulation results show that, compared with a separate wavelet and spatial domain Wiener filtering, the mean squared error of the proposed method is the smallest and it obtains better denoising results.

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