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Blind Quality Assessment of PFA-Affected Images Based on Chromatic Eigenvalue Ratio

  • Kannan KarthikEmail author
  • Parveen Malik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1022)

Abstract

Quality assessment of Purple Fringing Aberrated (PFA) images remains an unsolved problem because the original untainted natural image of the scene is not available at the point of analysis. As a result, the problem assumes the form of a blind assessment. This PFA is a false coloration localized around the edge regions where the contrast differential is high. One can, therefore, surmise that if this coloration is largely homogeneous in the chrominance space, the edge is expected to be crisp and the image sharp and clear. However, if this coloration pattern is diverse in the chrominance space, the edges will be fuzzy and this, in turn, will have an impact on the visual clarity of the image. The fringe diversity, therefore, becomes a measure of PFA image quality, provided the fringes are distributed in several parts of the image. This diversity has been captured by first characterizing the chrominance space spanned by the PFA pixels and then using the eigenvalue ratio as a measure of color diversity.

Keywords

Blind Quality assessment Purple fringing aberration (PFA) Chrominance 

Notes

Acknowledgements

We thank Google Inc., particularly its image search section, for providing us with the links to several web-based discussions and forums involving PFA and its extreme effects, from which we obtained several exemplar PFA-corrupted images generated by several midrange cell phones for further quality analysis.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.EEE DepartmentIndian Institute of Technology GuwahatiGuwahatiIndia

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