Abstruct-This paper concerns the application aspect of the two-dimensional (2-D) LMS adaptive filter in image processing. It is a recent research interest to extend some successful adaptive filtering techniques to the 2-D case. The LMS adaptive filter [l] has drawn attention because of its simplicity, which is significant in 2-D applications. On the basis of analyzing the strong points and weakness of the 2-D LMS adaptive filter in image processing, an adaptive scheme is proposed whereby a local-mean estimation substructure is incorporated to overcome the problem of the 2-D LMS adaptive filter in dealing with signals having a nonzero mean With, especially, abrupt variations (edges), which is a typical feature of practical images. The advantages of this scheme over the direct use of the 2-D LMS are considered. As a direct application, this scheme is used for adaptive cancellation of an artifact disturbance in an image. An implementation method of the local-mean estimation substructure with the edge-preserving property is introduced. With this local-mean estimator, the proposed scheme is applied for enhancement of images disturbed by Wide-band noises. All of the application examples presented in this paper illustrate some useful specialities of the 2-D LMS adaptive filter in image processing and the improved performance of the proposed scheme.
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.