Paper Contents
Abstract
This review paper presents a comprehensive synthesis and evaluation of three pioneering methods in the field of video denoising. The first method introduces an adaptive superpixel video texture metric and structure variance estimation, showcasing exceptional performance in reducing block artifacts. The second method focuses on real-time denoising, employing distinct filtering strategies for background and moving images through change detection and temporalspatial filters.
Copyright
Copyright © 2024 Bhagyashree R A. This is an open access article distributed under the Creative Commons Attribution License.