Ringing Artifact Suppression Using Sparse Representation

Abstract. The 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 stateof-the-art algorithms based on total variation minimization, and outperforms them in terms of image quality metrics.

• Type: Journal
• Year: 2015
• Where: ACIVS
• Authors: Alexey V. Umnov, Andrey S. Krylov, Andrey V. Nasonov
• Keywords: ACIVS 2015, Computer Vision