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Perceptual Quality Evaluation of Corrupted Industrial Images

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Digital TV and Wireless Multimedia Communications (IFTC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1560))

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Abstract

In recent years, computer vision applied in industrial application scenarios has been attracting attention. A lot of work has been made to present approaches based on visual perception, ensuring the safety during the processes of industrial production. However, much less effort has been done to assess the perceptual quality of corrupted industrial images. In this paper, we construct an Industrial Scene Image Database (ISID), which contains 3000 distorted images generated through applying different levels of distortion types to each of the 50 source images. Then, the subjective experiment is carried out to gather the subjective scores in a well-controlled laboratory environment. Finally, we perform comparison experiments on ISID database to investigate the performance of some objective image quality assessment algorithms. The experimental results show that the state-of-the-art image quality assessment methods have difficulty in predicting the quality of images that contain multiple distortion types.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Bei**g University of Technology, Bei**g, China

    Yafei Gong, **g Liu, Chengxu Zhou & Hongyan Liu

  2. Engineering Research Center of Intelligent Perception and Autonomous Control, Ministry of Education, Bei**g, China

    Yafei Gong, **g Liu, Chengxu Zhou & Hongyan Liu

  3. Bei**g Laboratory of Smart Environmental Protection, Bei**g, China

    Yafei Gong, **g Liu, Chengxu Zhou & Hongyan Liu

  4. Bei**g Key Laboratory of Computational Intelligence and Intelligent System, Bei**g, China

    Yafei Gong, **g Liu, Chengxu Zhou & Hongyan Liu

  5. Bei**g Artificial Intelligence Institute, Bei**g, China

    Yafei Gong, **g Liu, Chengxu Zhou & Hongyan Liu

  6. Faculty of Science, Bei**g University of Technology, Bei**g, China

    Chenchen Peng

Authors
  1. Yafei Gong
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  2. Chenchen Peng
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  3. **g Liu
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  4. Chengxu Zhou
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  5. Hongyan Liu
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Corresponding author

Correspondence to **g Liu .

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong Univeristy, Shanghai, China

    Guangtao Zhai

  2. Shanghai Jiao Tong University, Shanghai, China

    Jun Zhou

  3. Shanghai Jiao Tong University, Shanghai, China

    Hua Yang

  4. Shanghai University, Shanghai, China

    ** An

  5. Shanghai Jiao Tong University, Shanghai, China

    **aokang Yang

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Gong, Y., Peng, C., Liu, J., Zhou, C., Liu, H. (2022). Perceptual Quality Evaluation of Corrupted Industrial Images. In: Zhai, G., Zhou, J., Yang, H., An, P., Yang, X. (eds) Digital TV and Wireless Multimedia Communications. IFTC 2021. Communications in Computer and Information Science, vol 1560. Springer, Singapore. https://doi.org/10.1007/978-981-19-2266-4_15

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  • DOI: https://doi.org/10.1007/978-981-19-2266-4_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2265-7

  • Online ISBN: 978-981-19-2266-4

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