Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
