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Subjective Image Quality Assessment Optimization

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Image Processing and Communications Challenges 8 (IP&C 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 525))

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Abstract

As the results of computer algorithms methods are often visual, image quality assessment is one of its central problems. To provide a convincing proof that a new method is better than the state-of-the-art the image quality assessment should be employed. Therefore image based projects are often accompanied by user studies, in which a group of observers rank or rate results of several algorithms. Unfortunately the problem posed by subjective experiments is their time-consuming and expensive nature. This paper is intended to present how to make the subjective experiments less expensive and therefore more usable.

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Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Zolnierska 49, 71-210, Szczecin, Poland

    Anna Lewandowska (Tomaszewska)

Authors
  1. Anna Lewandowska (Tomaszewska)
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Correspondence to Anna Lewandowska (Tomaszewska) .

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Editors and Affiliations

  1. Institute of Telecommunications and Computer Sciences, UTP University of Science and Technology, Bydgoszcz, Poland

    Ryszard S. Choraś

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Lewandowska (Tomaszewska), A. (2017). Subjective Image Quality Assessment Optimization. In: Choraś, R. (eds) Image Processing and Communications Challenges 8. IP&C 2016. Advances in Intelligent Systems and Computing, vol 525. Springer, Cham. https://doi.org/10.1007/978-3-319-47274-4_20

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  • DOI: https://doi.org/10.1007/978-3-319-47274-4_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47273-7

  • Online ISBN: 978-3-319-47274-4

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