Paper Contents
Abstract
we propose a specially adaptive denoising algorithm using local statistics for a single image corrupted by gaussian noise. The proposed algorithm consist of two stages: noise detection and noise removal filtering. To corporate desirable properties into denoising process, local weighted mean, local weighted activity, and local maximum are defined. Using the local statistics, constraint for noise detection is defined. In addition, A modified Gaussian noise removal filter based on the local statistics is used to control the degree of noise suppression.
Copyright
Copyright © 2024 Kalpana M R. This is an open access article distributed under the Creative Commons Attribution License.
Paper ID:
IJPREMS40100004728
ISSN:
2321-9653
Publisher:
ijprems