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View publication | Laboratory of Mathematical Methods of Image Processing
TitleRinging artifact suppression using sparse representation
Publication typeJournal article
Author(s)A.V.Umnov, A.S.Krylov, A.V.Nasonov
Publication date2015
JournalLecture Notes in Computer Science
Volume9386
Page(s)35-45
AbstractThe article refers to the problem of ringing artifact suppression. The ringing effect is caused by high-frequency information corruption or loss, it appears as waves or oscillations near strong edges. We propose a novel method for ringing artifact suppression after Fourier cut-off filtering. It can be also used for image deringing in the case of image resampling and other applications where the frequency loss can be estimated. The method is based on the joint sparse coding approach. The proposed method preserves more small image details than the state-of-the-art algorithms based on total variation minimization, and outperforms them in terms of image quality metrics.
URLPDF
CommentDOI: 10.1007/978-3-319-25903-1_4

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