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Evaluation of the Perceptual Performance of Fuzzy Image Quality Measures

  • Ewout Vansteenkiste
  • Dietrich Van der Weken
  • Wilfried Philips
  • Etienne Kerre
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)

Abstract

In this paper we present a comparison of fuzzy instrumental image quality measures versus experimental psycho-visual data. A psycho-visual experiment we recently performed at our departments was used to collect data on human visual perception. The Multi-Dimensional Scaling (MDS) framework was applied in order to test which of our fuzzy image similarity measures correlates best to this human visual perception. Based on Spearman’s Rank Order Correlation coefficient we will show that the M \(^{p}_{\rm 6}\) and M \(^{h}_{i3}\) measures outperform their peers as well as the commonly used MSE and PSNR measures, in the case where image distortions are less trivial to distinguish with the bare eye.

Keywords

Similarity Measure Visual Quality Image Part Perceptual Performance Euclidean Distance Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ewout Vansteenkiste
    • 1
  • Dietrich Van der Weken
    • 2
  • Wilfried Philips
    • 1
  • Etienne Kerre
    • 2
  1. 1.Image Processing & Interpretation GroupGhent UniversityGhentBelgium
  2. 2.Fuzziness & Uncertainty ModellingGhent UniversityGhentBelgium

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