A New Image Denoising Method Using Wavelet Transform

Abstract

Wavelet image denoising has been widely used in the field of image noise. After taking into account the objective and subjective results of the noise image, this paper presents a new image denosing method. Firstly, this method decomposes the noisy image in order to get different sub-band image. Secondly, we remain the low-frequency wavelet coefficients unchanged, and after taking into account the relation of horizontal, vertical and diagonal high-frequency wavelet coefficients and comparing them with Donoho threshold, we make them enlarge and narrow relatively. Thirdly, we use soft-threshold denoising method to achieve image denoising. Finally, we get the denosing image by inverse wavelet transform. According to the result of experiment, this method compared to soft-threshold denosing method has a higher PSNR and visual effects.