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View publication | Laboratory of Mathematical Methods of Image Processing
TitleVariational image deringing using varying regularization parameter
Publication typeJournal article
Author(s)I.T.Sitdikov, A.S.Krylov
Publication date2015
JournalPattern Recognition and Image Analysis
Volume25
Issue1
Page(s)96-100
AbstractIn 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.

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