Image Denoising Based on Mean Filter and Wavelet Transform

Abstract

The traditional mean filter in the processing of the image noise reduction can make the image edge information lose, the image is obscure. The wavelet transformation in the image processing can not only suppresses image noise but also has the strong ability of image enhancement. So I combine two filtering methods for image noise reduction processing. The experiments and the test in this paper show that the denoising effect by combining of wavelet transform and mean filter is superior to simple denoising method and the existing combination of the denoising method no matter from visual aspect and in terms of signal-to-noise ratio and root mean square error.