Analysis of the Effects of Different types of Noises and Wavelets used in Denoising of an Image using Wavelet Transform
Tanay Mehendale, Vishal Ramina, Soham Pinge, Sujata Kulkarni · 2020
An image is often contaminated by some noise, which brings about changes in the originality of the image. Denoising of such images is done in order to obtain the less-contaminated version by suppressing noise. In this paper, we are using a recent method of image denoising with the help of Wavelet Transform. Denoising carried out using Wavelet Transform has its own set of challenges. There are two main factors which largely affect the end result - types of wavelets, and types of noises. In this paper, the degree by which these factors affect the image is studied and detailed analysis is given so as to select the correct parameters while carrying out Denoising by Wavelet Transform.