Sparse approach to image ringing detection and suppression-Reference-Cited by-同舟云学术

Sparse approach to image ringing detection and suppression

Published:2017-10 Issue:4 Volume:27 Page:754-762
ISSN:1054-6618
Container-title:Pattern Recognition and Image Analysis
language:en
Short-container-title:Pattern Recognit. Image Anal.

Author:

Umnov A. V.,Krylov A. S.

Publisher

Pleiades Publishing Ltd

Subject

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

Link

http://link.springer.com/article/10.1134/S1054661817040186/fulltext.html

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).

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Medical Image Joint Deringing and Denoising using Fourier Neural Operator;Proceedings of the 2023 8th International Conference on Biomedical Imaging, Signal Processing;2023-10-20

2. Edge detection of ghost imaging based on frequency domain filtering;2022 China Automation Congress (CAC);2022-11-25

3. Hybrid Method for Gibbs-Ringing Artifact Suppression in Magnetic Resonance Images;Programming and Computer Software;2021-05

4. Attention-based Convolutional Neural Network for MRI Gibbs-ringing Artifact Suppression;Proceedings of the 30th International Conference on Computer Graphics and Machine Vision (GraphiCon 2020). Part 2;2020-12-17

5. PEA265: Perceptual Assessment of Video Compression Artifacts;IEEE Transactions on Circuits and Systems for Video Technology;2020-11