SEUIR Repository

Tikhonov regularization using finite element method for a variationaldDenoising problem

Show simple item record

dc.contributor.author Naleer, H.M.M
dc.contributor.author Rilfi, M.R.M.
dc.date.accessioned 2017-02-09T05:08:04Z
dc.date.available 2017-02-09T05:08:04Z
dc.date.issued 2013-12-03
dc.identifier.citation Second Annual Science Research Sessions – 2013 on Exploring Science and Technology For National Development pp.31 en_US
dc.identifier.isbn 9789556270457
dc.identifier.uri http://ir.lib.seu.ac.lk/handle/123456789/2300
dc.description.abstract A local adaptive control of regularization for a denoising problem is proposed in this article. Our goal is to solve a linear variational denoising problem which is based on the idea of Tikhonov regularization using finite element method with un-structured grid as a domain of computation and also the control of adaptation for local smoothness parameters in the certain regions of image where the solution is less regular and the absolute average error is large. The regularization process is performed by an adaptive algorithm which is intelligent in the sense that the optimal selection of local regularization parameters is automatic. The algorithm decreases the absolute average error and increases the quality of diffusion at each adaptive step en_US
dc.language.iso en en_US
dc.publisher Faculty of Applied Sciences, South Eastern University of Sri lanka en_US
dc.subject Image denoising en_US
dc.subject Regularization en_US
dc.subject Adaptive Control of regularization en_US
dc.subject Adaptive finite elements en_US
dc.subject Optimization en_US
dc.title Tikhonov regularization using finite element method for a variationaldDenoising problem en_US
dc.type Article en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search SEUIR


Advanced Search

Browse

My Account