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Shift Detection by Restoration

  • Herbert Suesse
  • Klaus Voss
  • Wolfgang Ortmann
  • Torsten Baumbach
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1689)

Abstract

In this paper an approach is presented for robust shift detection of two given images. The new unifying idea is that we determine a shifted delta impulse using some well-known restoration techniques, e.g. the Wiener filtering, constraint restoration, entropy restoration, and Baysian restoration. The used restoration techniques imply the robustness of the presented method. Our approach is a generalization of the matched filtering approach. Additionally, we describe in the paper the problem of calculating an evaluation measure of the restored delta impulse image. This measure is the basis for the uncertainty of the detected shift. The unifying approach of shift detection by restoration (SDR-method) could be tested successfully, for example using a series of fundus image pairs which are of practical interest and which contain also small rotations, scalings and even deformations.

Keywords

Regularization Parameter Minimum Mean Square Error Cyclic Shift Phase Correlation Convolution Equation 
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 1999

Authors and Affiliations

  • Herbert Suesse
    • 1
  • Klaus Voss
    • 1
  • Wolfgang Ortmann
    • 1
  • Torsten Baumbach
    • 1
  1. 1.Department of Computer ScienceFriedrich-Schiller-University JenaJenaGermany

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