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Two-Dimensional Windowing in the Structural Similarity Index for the Colour Image Quality Assessment

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Computer Analysis of Images and Patterns (CAIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5702))

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Abstract

This paper presents the analysis of the usage of the Structural Similarity (SSIM) index for the quality assessment of the colour images with variable size of the sliding window. The experiments have been performed using the LIVE Image Quality Assessment Database in order to compare the linear correlation of achieved results with the Differential Mean Opinion Score (DMOS) values. The calculations have been done using the value (brightness) channel from the HSV (HSB) colour space as well as commonly used YUV/YIQ luminance channel and the average of the RGB channels. The analysis of the image resolution’s influence on the correlation between the SSIM and DMOS values for varying size of the sliding window is also presented as well as some results obtained using the nonlinear mapping based on the logistic function.

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Authors and Affiliations

  1. Chair of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology, Szczecin, Faculty of Electrical Engineering, 26. Kwietnia 10, 71-126, Szczecin, Poland

    Krzysztof Okarma

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  1. Krzysztof Okarma
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, 48149, Münster, Germany

    Xiaoyi Jiang

  2. Institute of Mathematics and Computing Science, University of Groningen, Nijenborgh 9, 9747, Groningen, AG, The Netherlands

    Nicolai Petkov

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Okarma, K. (2009). Two-Dimensional Windowing in the Structural Similarity Index for the Colour Image Quality Assessment. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_61

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  • DOI: https://doi.org/10.1007/978-3-642-03767-2_61

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03766-5

  • Online ISBN: 978-3-642-03767-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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