A New Approach of Image Denoising Based on Discrete Wavelet Transform

Abstract

Image denoising is a process that used to enhance the image quality after degraded by the noise. There are several methods have been proposed for image denoising. In this paper, a new method of image denoising has been proposed. The proposed method is based on using wavelet transform. Wavelet transform is best method for analysis the image due to the ability to split the image into sub-bands and work on each sub-band frequencies separately. Also, the robust median estimator has been used to estimate the noise ratio at the noisy image. According to experimental results, the proposed method presents best values for MSE and PSNR for denoised images. Also, by using different types of wavelet transform filters is make the proposed approach can obtained best results for image denoising process.