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

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

Research output: Contribution to journalConference articlepeer-review


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. Superresolution 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 in this work that superresolution 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 found empirical selection criteria and propose a selection procedure.

Original languageEnglish
Pages (from-to)224-233
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1 Dec 1999
EventProceedings of the 1999 Applications of Digital Image Processing XXII - Denver, CO, USA
Duration: 20 Jul 199923 Jul 1999

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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