This paper presents a new weighted switching median filter is proposed to restore images corrupted by noise. The neighborhood of a pixel is classified into low corrupted, medium corrupted and highly corrupted regions. Based on this classification the weights associated with the median filter employed for denosing is determined. In addition, switching mechanism allows the use of different weights for different regions based on localized statistics. The proposed algorithm can be applicable to digital images with most of the fine details of the image are mostly preserved. The simulation analysis would shows that the proposed method is good for noise reduction and image restoration.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.