Evaluation of the PSF from motion blurred images

Yitzhak Yitzhaky, A. Lantzman, I. Mor, Norman S. Kopeika

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations


This paper deals with the problem of restoration of images blurred by relative motion between the camera and the object of interest. This problem is common when the imaging system is in moving vehicles or held by human hands, and in robot vision. For correct restoration of the degraded image we need to know the point spread function (PSF) of the blurring system. In this paper we propose a method to identify important parameters with which to characterize the PSF of the blur, given only the blurred image itself. The identification method here is based on the concept that image characteristics along the direction of motion are different than the characteristics in other directions. Depending on the PSF shape, the homogeneity and the smoothness of the blurred image in the motion direction are higher than in other directions. By filtering the blurred image we emphasize the PSF characteristics at the expense of the image characteristics. The method proposed here identifies the direction and the extent of the PSF of the blur and finally identifies the modulation transfer function (MTF) of the blurring system.

Original languageEnglish
Pages (from-to)822-831
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1 Dec 1997
Event10th Meeting on Optical Engineering in Israel - Jerusalem, Israel
Duration: 2 Mar 19972 Mar 1997


  • Blur identification
  • Image motion
  • Image restoration
  • Image vibration
  • Motion blur

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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