Performance Analysis Of Wavelet Transform Based Image Denoising For Real Time Communication System

Abstract

One of the most important advantages of the digital transmission systems for voice, data, and video communications is that they are highly reliable. But the major obstacle to higher reliability and high data transmission rate is noisy channel. By this noise, the quality of the images can be reduced and diagnosis becomes critical in case of medical images. In this paper, different test and medical images are transmitted through an channel and the noisy images are denoised by using different wavelet transform techniques (Haar, Daubechies, Coiflet, Symmlet, bi-orthogonal). From the results it is found that the bi-orthogonal wavelet transform technique performs better in terms of the performance metrics like PSNR, MSE and SSIM compared to other wavelet transforms.