An improved Wiener filtering method in wavelet domain
Li Ke, Weiqi Yuan, Yang Xiao · 2008
In order to denoise image and improve its visual quality, an improved Wiener filtering method is proposed based on wavelet transform. First, image noise is analyzed, and then the image corrupted by noise is given. The noisy image is denoised by the improved Wiener filtering method based on wavelet transform. The procession is repeated until the denoised image satisfied the requirements. Experiment results demonstrate that the new method removes the noise of image and improves the image visual quality, with the PSNR between the denoised image and the original image is increased by 2.02, while PSNR between the denoised image and the noisy image is similar to the PSNR between the noisy image and original image. It can get the conclusion that the method denoised image with good visual effect, and it is an effective image processing method.