Restoration and resolution enhancement of a single image from a vibration-distorted image sequence

Adrian Stern, Elad Kempner, Avi Shukrun, Norman S. Kopeika

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

In many applications such as in airborne and terrestrial reconnaissance, robotics, medical imaging, and machine vision systems, the images of a video sequence are severely distorted by vibrations. Super-resolution algorithms are suitable for restoring an image from a low-frequency vibrated sequence because of high correlation between the frames and inherent interframe motion. However, we show that super-resolution algorithms, which were developed for general types of blur, should be adapted to the specific characteristics of low-frequency vibration blur. We demonstrate that in the case of image sequences distorted by vibration, the images should be selected prior to processing. We find empirical selection criteria and propose a selection procedure.

Original languageEnglish
Pages (from-to)2451-2457
Number of pages7
JournalOptical Engineering
Volume39
Issue number9
DOIs
StatePublished - 1 Sep 2000

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • General Engineering

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