Fast wiener filter-based denoising for fine details and edges preservation in the blind condition

In this paper, we present a denoising method based on the frequency domain Wiener filter for implementation in the blind condition. We aim at preserving fine details and edges while suppressing noise, and efficient computational cost. This method consist of a two-phase process where the noise and image power spectra are first estimated from a noisy image and employed for the frequency domain Wiener filter. Two images restored by the Wiener filter with different parameter settings are utilized in the decomposition of smooth and non-smooth regions for further denoising. The simulation results show that the proposed method is fast, and outperforms or is comparable to the restoration performance of the conventional methods applied in the blind and ideal condition.