Image Denoising by Fourier Block Processing and Wiener Filtering

The purpose of image denoising is to get a clear version of a noisy image. Although the current denoising methods produce acceptable results; they suffer from certain visible artifacts. We propose a method for image denoising, which can be implemented in both spatial and spectral domains. We offer an image denoising method based on block processing and wiener filtering. The experimental results demonstrate that this algorithm achieves good performance in terms of both peak-signal to noise ratio (PSNR) and visual quality.