Sparse approach to image ringing detection and suppression

Author:

Umnov A. V.,Krylov A. S.

Publisher

Pleiades Publishing Ltd

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition

Reference21 articles.

1. A. V. Nasonov and A. S. Krylov, “Edge quality metrics for image enhancement,” Pattern Recogn. Image Anal. 22 (2), 346–353 (2012).

2. C. C. Koh, S. K. Mitra, J. M. Foley, and I. E. Heynderickx, “Annoyance of individual artifacts in MPEG-2 compressed video and their relation to overall annoyance,” in Proc. Electronic Imaging Conf. (San Jose, CA, 2005), pp. 595–606.

3. A. Punchihewa and D. G. Bailey, “Artefacts in image and video systems; classification and mitigation,” in Proc. Image and Vision Computing (New Zealand, 2002), pp. 197–202.

4. H. Chang, M. K. Ng, and T. Zeng, “Reducing artifacts in jpeg decompression via a learned dictionary,” IEEE Trans. Signal Processing 62 (3), 718–728 (2014).

5. H. Liu, N. Klomp, and I. Heynderickx, “A perceptually relevant approach to ringing region detection,” IEEE Trans. Signal Processing 19 (6), 1414–1426 (2010).

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