Image Denoising Using Dual Tree M-Band Wavelet Transform

Image denoising is process of removing the noises from an image that are added to it by means of manually or naturally. In this paper presents animage denoising scheme based on the wavelet transform called as Dual Tree M-Band Wavelet Transform (DTMBWT) is discussed. The noise that is added in this scheme is the Gaussian noise. By using the soft thresholding the noise image the coordinates of the image can be altered and the noise can be removed and the retrieval of the original image can be obtained by inversing the wavelet function (i.e., IDTMBWT) scheme. Finally SNR, PSNR values for noised and denoised images are calculated to measure the performance of out denoising scheme.