Image Denoising Based On Averaging Of Two Wavelet Transformed Images
نویسندگان
چکیده
When the signal in the form of image is processed, it gets distorted and further processing does not provide good results. Hence it is very important to get back the image in its original noise free condition. In this paper we present an image denoising method for noise removal. In this work, a wavelet-based multiscale linear minimum mean square-error estimation (LMMSE) scheme for image denoising is proposed. In order to achieve this undecimated wavelet transforms (UWT) have been applied to the image. We use two wavelet filters and generate two wavelet transformed images for each filter. Average of these two transformed images is used to generate a new image which is visually pleasing as compared to individual filtered image. It is also shown quantitatively by PSNR and MSE value. Experiments show that the proposed scheme outperforms some existing denoising methods.
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