Sparsity-based deartifacting filtering in video compression

Jun Xu; Yunfei Zheng; Peng Yin; Joel Sole; Cristina Gomila; Dapeng Wu

doi:10.1109/ICIP.2009.5414030

Sparsity-based deartifacting filtering in video compression

Jun Xu, Yunfei Zheng, Peng Yin, Joel Sole, Cristina Gomila, Dapeng Wu

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

In the last years, many sparsity based denoising approaches for image/video denoising have been proposed. Most of them exploit the image/video sparsity model under certain over-complete basis. In this paper, we unify three sparsity-based denoising techniques and apply them to the problem of video compression artifacts removal. We compare and analyze the three techniques from the aspects of operation atom, transform dimensionality, and quantization impact. Based on the provided analysis, the paper may serve as a guideline to apply sparsity-based denoising techniques to related problems. ©2009 IEEE.

Original language	English
Title of host publication	2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Publisher	IEEE Computer Society
Pages	3933-3936
ISBN (Print)	9781424456543
DOIs	https://doi.org/10.1109/ICIP.2009.5414030
Publication status	Published - 2009
Externally published	Yes
Event	2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt Duration: 7 Nov 2009 → 10 Nov 2009

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2009 IEEE International Conference on Image Processing, ICIP 2009
Place	Egypt
City	Cairo
Period	7/11/09 → 10/11/09

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Artifacts removal
Deblocking filtering
H.264/AVC
Sparsity-based denoising
Video compression

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10.1109/ICIP.2009.5414030

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Xu, J., Zheng, Y., Yin, P., Sole, J., Gomila, C., & Wu, D. (2009). Sparsity-based deartifacting filtering in video compression. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 3933-3936). Article 5414030 (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5414030

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title = "Sparsity-based deartifacting filtering in video compression",

abstract = "In the last years, many sparsity based denoising approaches for image/video denoising have been proposed. Most of them exploit the image/video sparsity model under certain over-complete basis. In this paper, we unify three sparsity-based denoising techniques and apply them to the problem of video compression artifacts removal. We compare and analyze the three techniques from the aspects of operation atom, transform dimensionality, and quantization impact. Based on the provided analysis, the paper may serve as a guideline to apply sparsity-based denoising techniques to related problems. {\textcopyright}2009 IEEE.",

keywords = "Artifacts removal, Deblocking filtering, H.264/AVC, Sparsity-based denoising, Video compression",

author = "Jun Xu and Yunfei Zheng and Peng Yin and Joel Sole and Cristina Gomila and Dapeng Wu",

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language = "English",

isbn = "9781424456543",

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Xu, J, Zheng, Y, Yin, P, Sole, J, Gomila, C & Wu, D 2009, Sparsity-based deartifacting filtering in video compression. in 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings., 5414030, Proceedings - International Conference on Image Processing, ICIP, IEEE Computer Society, pp. 3933-3936, 2009 IEEE International Conference on Image Processing, ICIP 2009, Cairo, Egypt, 7/11/09. https://doi.org/10.1109/ICIP.2009.5414030

Sparsity-based deartifacting filtering in video compression. / Xu, Jun; Zheng, Yunfei; Yin, Peng et al.
2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. IEEE Computer Society, 2009. p. 3933-3936 5414030 (Proceedings - International Conference on Image Processing, ICIP).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Sparsity-based deartifacting filtering in video compression

AU - Xu, Jun

AU - Zheng, Yunfei

AU - Yin, Peng

AU - Sole, Joel

AU - Gomila, Cristina

AU - Wu, Dapeng

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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N2 - In the last years, many sparsity based denoising approaches for image/video denoising have been proposed. Most of them exploit the image/video sparsity model under certain over-complete basis. In this paper, we unify three sparsity-based denoising techniques and apply them to the problem of video compression artifacts removal. We compare and analyze the three techniques from the aspects of operation atom, transform dimensionality, and quantization impact. Based on the provided analysis, the paper may serve as a guideline to apply sparsity-based denoising techniques to related problems. ©2009 IEEE.

AB - In the last years, many sparsity based denoising approaches for image/video denoising have been proposed. Most of them exploit the image/video sparsity model under certain over-complete basis. In this paper, we unify three sparsity-based denoising techniques and apply them to the problem of video compression artifacts removal. We compare and analyze the three techniques from the aspects of operation atom, transform dimensionality, and quantization impact. Based on the provided analysis, the paper may serve as a guideline to apply sparsity-based denoising techniques to related problems. ©2009 IEEE.

KW - Artifacts removal

KW - Deblocking filtering

KW - H.264/AVC

KW - Sparsity-based denoising

KW - Video compression

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T3 - Proceedings - International Conference on Image Processing, ICIP

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BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings

PB - IEEE Computer Society

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ER -

Sparsity-based deartifacting filtering in video compression

Abstract

Publication series

Conference

Bibliographical note

Research Keywords

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