Variational image deringing using varying regularization parameter
Publication type
Journal article
Author(s)
I.T.Sitdikov, A.S.Krylov
Publication date
2015
Journal
Pattern Recognition and Image Analysis
Volume
25
Issue
1
Page(s)
96-100
Abstract
In this paper we propose new locally adaptive image deringing methods. These methods are based on total variation minimization with an adaptively varying regularization parameter. The proposed approach improves visual quality of the resulting images by preserving more structural information comparing to existing methods. Attendant parallel algorithms were developed and implemented on GPU.
