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  • Research Article
  • Open Access

Performance Evaluation of Super-Resolution Reconstruction Methods on Real-World Data

EURASIP Journal on Advances in Signal Processing20072007:043953

  • Received: 19 September 2006
  • Accepted: 16 April 2007
  • Published:


The performance of a super-resolution (SR) reconstruction method on real-world data is not easy to measure, especially as a ground-truth (GT) is often not available. In this paper, a quantitative performance measure is used, based on triangle orientation discrimination (TOD). The TOD measure, simulating a real-observer task, is capable of determining the performance of a specific SR reconstruction method under varying conditions of the input data. It is shown that the performance of an SR reconstruction method on real-world data can be predicted accurately by measuring its performance on simulated data. This prediction of the performance on real-world data enables the optimization of the complete chain of a vision system; from camera setup and SR reconstruction up to image detection/recognition/identification. Furthermore, different SR reconstruction methods are compared to show that the TOD method is a useful tool to select a specific SR reconstruction method according to the imaging conditions (camera's fill-factor, optical point-spread-function (PSF), signal-to-noise ratio (SNR)).


  • Information Technology
  • Input Data
  • Performance Evaluation
  • Vision System
  • Simulated Data

Authors’ Affiliations

Electro-Optics Group, TNO Defence, Security and Safety, P.O. Box 96864, The Hague, 2509, JG, The Netherlands
Quantitative Imaging Group, Department of Imaging Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Lorentzweg 1, Delft, 2628, CJ, The Netherlands


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© A.W. M. van Eekeren et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.