Recognition of motion-blurred images by use of the method of moments

Adrian Stern, Inna Kruchakov, Eitan Yoavi, Norman S. Kopeika

Research output: Contribution to journalArticlepeer-review

33 Scopus citations


Image motion causes a blur that changes features of objects and therefore complicates the task of automatic recognition. In this work we develop two recognition methods for motion-blurred images. For the first method we assume that the motion function and direction during the exposure are given. We develop the relation between the blurred-image moments and the original-image moments based on the motion function only. The recognition is carried out by comparing the moments of the restored image against the moments of the image database. In the second method the motion function is not known. In this case image moments that are invariant with respect to the motion blur are identified, and only these moments are used for recognition. The advantage of the suggested methods is that no timeconsuming image restoration is required prior to recognition.

Original languageEnglish
Pages (from-to)2164-2171
Number of pages8
JournalApplied Optics
Issue number11
StatePublished - 1 Jan 2002

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering


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