Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/2300
Title: Tikhonov regularization using finite element method for a variationaldDenoising problem
Authors: Naleer, H.M.M
Rilfi, M.R.M.
Keywords: Image denoising
Regularization
Adaptive Control of regularization
Adaptive finite elements
Optimization
Issue Date: 3-Dec-2013
Publisher: Faculty of Applied Sciences, South Eastern University of Sri lanka
Citation: Second Annual Science Research Sessions – 2013 on Exploring Science and Technology For National Development pp.31
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
URI: http://ir.lib.seu.ac.lk/handle/123456789/2300
ISBN: 9789556270457
Appears in Collections:ASRS - FAS 2013

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