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Colour Image Quality Assessment Using the Combined Full-Reference Metric

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Computer Recognition Systems 4

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 95))

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Abstract

In the paper the application of the combined image quality metric for the assessment of colour images is discussed. Proposed technique belongs to the group of full-reference objective methods, which require the exact knowledge of the reference image but ensure high universality and independence on the image contents. The combined metric discussed in the paper is based on three recently proposed approaches:Multi-Scale Structural Similarity, Visual Information Fidelity and RSVD metric utilising the Singular Value Decomposition. The verification of its linear correlation with subjective quality evaluations has been performed using two publicly available colour image databases: LIVE and TID2008.

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Authors and Affiliations

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

    Krzysztof Okarma

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  1. Krzysztof Okarma
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Editors and Affiliations

  1. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Robert Burduk , Marek Kurzyński  & Andrzej Żołnierek ,  & 

  2. Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

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Okarma, K. (2011). Colour Image Quality Assessment Using the Combined Full-Reference Metric. In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_30

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  • DOI: https://doi.org/10.1007/978-3-642-20320-6_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20319-0

  • Online ISBN: 978-3-642-20320-6

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