Application of prethresholding Wiener filtering to wavelet domain image denoising

Aiming at denoising in image processing and analyzing the statistical error occurred in Wiener filtering this paper presents prethresholding Wiener filtering algorithm to improve filter performance in image denoising using prethresholding as a processing step.The results obtained by standard Wiener filtering,inverse filtering and prethresholding Wiener filtering in degenerated image processing show that conducting the image restoration,standard Wiener filtering is better than inverse filtering and prethresholding Wiener filtering is much better than both standard Wiener filtering and inverse filtering.Compared with standard Wiener filtering,inverse filtering reduces peak signal to noise ratio(PSNR) and prethresholding Wiener filtering improves PSNR.An increased PSNR shows that use prethresholding Wiener filtering raises capacity of the filter in noise reduction.