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Restoration and Validation of Image Data

  • T. Bellone
  • B. Crippa
  • L. Mussio
Part of the International Centre for Mechanical Sciences book series (CISM, volume 365)

Abstract

Images supply large amounts of data, that need appropriate statistical and numerical techniques, in order to achieve their restoration and validation. In this work some procedures of data processing are presented; they combine suitably optimality from the statistical point of view and practicability from the numerical one. Furthermore they have been applied, since a relatively long time, to surface reconstruction and deformation monitoring, but they are now specialized and applied to preprocessing of image data (i.e. data assessment, image quality control). A pilot experiment using a SPOT image has been done and its results are reported.

Keywords

Covariance Function Toeplitz Matrix Image Quality Assessment Innovation Vector Toeplitz Matrice 
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 Wien 1996

Authors and Affiliations

  • T. Bellone
    • 1
  • B. Crippa
    • 2
  • L. Mussio
    • 2
  1. 1.Polytechnic of TurinTurinItaly
  2. 2.Polytechnic of MilanMilanItaly

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