Soft Computing

, Volume 21, Issue 7, pp 1847–1861

Image reduction method based on the F-transform

  • Irina Perfilieva
  • Petr Hurtik
  • Ferdinando Di Martino
  • Salvatore Sessa
Methodologies and Application

DOI: 10.1007/s00500-015-1885-0

Cite this article as:
Perfilieva, I., Hurtik, P., Martino, F.D. et al. Soft Comput (2017) 21: 1847. doi:10.1007/s00500-015-1885-0
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Abstract

We present a new method of (color) image reduction based on the F-transform technique with a generalized fuzzy partition. This technique successfully combines approximation (when reduction is performed) and interpolation (when reconstruction is produced). The efficiency of the proposed method is theoretically justified by its linear complexity and by comparison with interpolation, and aggregation-based reductions. We also analyze the measures (\(\mathrm{MSE}\), \(\mathrm{PEN}\), and \(\mathrm{SSIM}\)) that are commonly used to estimate the quality of reduced images and show that these measures have better values using the newly proposed method.

Keywords

F-Transform Generalized partition Image reduction Image resize Interpolation 

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Irina Perfilieva
    • 1
  • Petr Hurtik
    • 1
  • Ferdinando Di Martino
    • 2
  • Salvatore Sessa
    • 2
  1. 1.Institute for Research and Applications of Fuzzy ModellingUniversity of OstravaOstravaCzech Republic
  2. 2.Dipt. di Costruzioni e Metodi Matematici in ArchitetturaUniversita degli Studi di Napoli “Federico II”NaplesItaly

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