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International Conference on Computer Vision and Graphics

ICCVG 2018: Computer Vision and Graphics pp 38–47Cite as

A Study on Image Comparison Metrics for Atmospheric Scattering Phenomenon Rendering

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11114))

Abstract

Though reference image quality can be calculated with several, well established, comparison methods, images synthesizing light atmospheric scattering phenomenon require adequate evaluation approaches. Current metrics concentrate mainly on noise ratio, entropy or simple pixels correlation coefficients. Thus methods require images strict adequacy in structure and position of their components. On the other hand, light atmospheric scattering renders, synthesized with different methods, should concentrate on their structural representation and possible color gradients rather than direct correspondence of individual pixels. The paper presents a study on image comparison methods in a context of light atmospheric scattering phenomenon. We have focused on several, most popular image comparison metrics like Pearson Correlation Coefficient (PCC), Structural Similarity (SSIM), Multi-Scale Structural Similarity (MS-SSIM) and Perceptual Difference (PD). We compare this metrics in terms of clear sky synthesis problem and try to select the most relevant metrics for the stated phenomenon. The conclusion and discussion provides a handful of suggestions concerning phenomenon related metrics selection.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Łódź University of Technology, Łódź, Poland

    Tomasz Gałaj & Adam Wojciechowski

Authors
  1. Tomasz Gałaj
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  2. Adam Wojciechowski
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Corresponding author

Correspondence to Tomasz Gałaj .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Warsaw, Poland

    Leszek J. Chmielewski

  2. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Warsaw, Poland

    Ryszard Kozera

  3. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Warsaw, Poland

    Arkadiusz Orłowski

  4. Institute of Computer Science, Silesian University of Technology, Gliwice, Poland

    Konrad Wojciechowski

  5. Technion, Israel Institute of Technology, Haifa, Israel

    Alfred M. Bruckstein

  6. University of Groningen, Groningen, The Netherlands

    Nicolai Petkov

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Gałaj, T., Wojciechowski, A. (2018). A Study on Image Comparison Metrics for Atmospheric Scattering Phenomenon Rendering. In: Chmielewski, L., Kozera, R., Orłowski, A., Wojciechowski, K., Bruckstein, A., Petkov, N. (eds) Computer Vision and Graphics. ICCVG 2018. Lecture Notes in Computer Science(), vol 11114. Springer, Cham. https://doi.org/10.1007/978-3-030-00692-1_4

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  • DOI: https://doi.org/10.1007/978-3-030-00692-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00691-4

  • Online ISBN: 978-3-030-00692-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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