Ziv-zakai bounds on image registration

Min Xu, Hao Chen, Pramod K. Varshney

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Image registration is a fundamental and important task in image processing. The goal essentially is to estimate the transformation that aligns two images. We focus on the general rigid body transformation case. In this paper, we derive the Ziv-Zakai bounds (ZZB) on image registration by assuming an uncertainty model for the rotation and translation errors, and propose to use the ZZB as a benchmark to evaluate the registration ability of an image pair. We also compare the performance of several image registration algorithms with the derived bounds when applied to several datasets.

Original languageEnglish (US)
Pages (from-to)1745-1755
Number of pages11
JournalIEEE Transactions on Signal Processing
Issue number5
StatePublished - 2009


  • Image registration
  • Parameter estimation
  • Ziv-Zakai bound

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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