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Pacific-Rim Conference on Multimedia

PCM 2008: Advances in Multimedia Information Processing - PCM 2008 pp 894–897Cite as

A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5353))

Abstract

This paper presents a novel no-reference blocking artifacts metric using selective gradient and plainness (BAM_SGP) measures for DCT-coded images. A boundary selection criterion is introduced to distinguish the blocking artifacts boundaries from the true-edge boundaries, which ensures that the most potential artifacts boundaries are involved in the measurement. Next, the artifacts are evaluated by the gradient and plainness measures indicating different aspects of blocking artifacts characteristics. Then these two measures are fused into a metric of blocking artifacts. Compared with some existing metrics, experiments on the LIVE database and our own test set show that the proposed metric can keep better consistent with Mean Opinion Score (MOS).

Supported by National Natural Science Foundation Research Program of China under Contact No.60672088 and No.60736043.

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References

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Author information

Authors and Affiliations

  1. Graduate University of Chinese Academy of Sciences, Beijing, 100039, P.R. China

    Jianhua Chen & Wen Gao

  2. Harbin Institute of Technology, Harbin, 150001, P.R. China

    Yongbing Zhang

  3. Inst. of Comput. Tech., Chinese Academy of Sciences, Beijing, 100190, P.R. China

    Luhong Liang & Wen Gao

  4. Peking University, 100872, P.R. China

    Siwei Ma & Wen Gao

  5. France Telecom R&D Beijing Co., Ltd, China

    Ronggang Wang

Authors
  1. Jianhua Chen
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  2. Yongbing Zhang
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  3. Luhong Liang
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  4. Siwei Ma
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  5. Ronggang Wang
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  6. Wen Gao
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Editor information

Editors and Affiliations

  1. Department of Engineering Science, National Cheng Kung University, No.1, University Road, 701, Tainan City, Taiwan

    Yueh-Min Ray Huang

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 95, Zhongguancun East Road, 100190, Beijing, China

    Changsheng Xu

  3. Institute of Biomedical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Kuo-Sheng Cheng

  4. Department of Electrical Engineering, National Cheng Kung University, No. 1, University Road, 701, Tainan City, Taiwan

    Jar-Ferr Kevin Yang

  5. Department of Electrical and Computer Engineering, Concordia University, S-EV005.139, 1515 St. Catherine West, Montreal, H4G 2W1, Quebec, Canada

    M. N. S. Swamy

  6. Microsoft Research Asia, 5/F, Beijing Sigma Center, No. 49, Zhichun Road, Hai Dian District, 100080, Beijing, China

    Shipeng Li

  7. Department of Information Management, National Kaohsiung University of Applied Sciences, No. 415, Jiangong Road, Sanmin District, 80778, Kaohsiung, Taiwan

    Jen-Wen Ding

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© 2008 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chen, J., Zhang, Y., Liang, L., Ma, S., Wang, R., Gao, W. (2008). A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_108

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  • DOI: https://doi.org/10.1007/978-3-540-89796-5_108

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89795-8

  • Online ISBN: 978-3-540-89796-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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