Adaptive deblocking algorithm based on image characteristics for low bit-rate video

Jongho Kim, Minseok Choi, Jechang Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Reconstructed images in low bit-rate video coding often have visually annoying artifacts, such as blocking artifacts and corner outliers, usually due to block-based quantization and motion-compensated prediction. In this paper, we propose an adaptive deblocking algorithm based on local image characteristics. We remove ringing artifacts using a simple low-pass filter in the preprocessing. Among four filtering modes, an appropriate filter is selected adaptively, removing noticeable blocking artifacts in flat areas, while preserving details without blurring in highly complex areas. The proposed filter contains a non-symmetric filter a corner outlier removal filter. Simulation results show the effectiveness of the proposed deblocking algorithm in objective and subjective quality compared with those of the MPEG-4 deblocking filter.

Original languageEnglish
Title of host publicationImage Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings
Pages740-751
Number of pages12
StatePublished - 2007 Dec 1
Event4th International Conference on Image Analysis and Recognition, ICIAR 2007 - Montreal, Canada
Duration: 2007 Aug 222007 Aug 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4633 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Image Analysis and Recognition, ICIAR 2007
CountryCanada
CityMontreal
Period07/08/2207/08/24

Fingerprint

Low pass filters
Adaptive algorithms
Adaptive Algorithm
Image coding
Filter
Outlier
MPEG-4
Low-pass Filter
Video Coding
Preprocessing
Quantization
Filtering
Motion
Prediction
Simulation

Keywords

  • Deblocking filter
  • Low bit-rate video
  • MPEG-4 video
  • Post-processing

Cite this

Kim, J., Choi, M., & Jeong, J. (2007). Adaptive deblocking algorithm based on image characteristics for low bit-rate video. In Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings (pp. 740-751). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4633 LNCS).
Kim, Jongho ; Choi, Minseok ; Jeong, Jechang. / Adaptive deblocking algorithm based on image characteristics for low bit-rate video. Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings. 2007. pp. 740-751 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "Reconstructed images in low bit-rate video coding often have visually annoying artifacts, such as blocking artifacts and corner outliers, usually due to block-based quantization and motion-compensated prediction. In this paper, we propose an adaptive deblocking algorithm based on local image characteristics. We remove ringing artifacts using a simple low-pass filter in the preprocessing. Among four filtering modes, an appropriate filter is selected adaptively, removing noticeable blocking artifacts in flat areas, while preserving details without blurring in highly complex areas. The proposed filter contains a non-symmetric filter a corner outlier removal filter. Simulation results show the effectiveness of the proposed deblocking algorithm in objective and subjective quality compared with those of the MPEG-4 deblocking filter.",
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Kim, J, Choi, M & Jeong, J 2007, Adaptive deblocking algorithm based on image characteristics for low bit-rate video. in Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4633 LNCS, pp. 740-751, 4th International Conference on Image Analysis and Recognition, ICIAR 2007, Montreal, Canada, 07/08/22.

Adaptive deblocking algorithm based on image characteristics for low bit-rate video. / Kim, Jongho; Choi, Minseok; Jeong, Jechang.

Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings. 2007. p. 740-751 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4633 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Reconstructed images in low bit-rate video coding often have visually annoying artifacts, such as blocking artifacts and corner outliers, usually due to block-based quantization and motion-compensated prediction. In this paper, we propose an adaptive deblocking algorithm based on local image characteristics. We remove ringing artifacts using a simple low-pass filter in the preprocessing. Among four filtering modes, an appropriate filter is selected adaptively, removing noticeable blocking artifacts in flat areas, while preserving details without blurring in highly complex areas. The proposed filter contains a non-symmetric filter a corner outlier removal filter. Simulation results show the effectiveness of the proposed deblocking algorithm in objective and subjective quality compared with those of the MPEG-4 deblocking filter.

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Kim J, Choi M, Jeong J. Adaptive deblocking algorithm based on image characteristics for low bit-rate video. In Image Analysis and Recognition - 4th International Conference, ICIAR 2007, Proceedings. 2007. p. 740-751. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).