Identification of blur parameters from motion blurred images

Research output: Contribution to journalConference articlepeer-review

10 Scopus citations


A difficult problem in imaging systems is degradation of images caused by motion. This problem is common when the imaging system is in moving vehicles such as tanks or planes and even when the camera is held by human hands. 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. A first step of this method has been suggested in a former paper where only the blur extent parameter was considered. 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. Furthermore, in the motion direction correlation exists between the pixels forming the blur of the original unblurred objects. The method proposed here identifies the direction and the extent of the PSF of the blur and evaluates its shape which depends on the type of motion during the exposure. Correct identification of the PSF parameters permits fast high resolution restoration of the blurred image.

Original languageEnglish
Pages (from-to)270-280
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 14 Nov 1996
EventApplications of Digital Image Processing XIX 1996 - Denver, United States
Duration: 4 Aug 19969 Aug 1996


  • Blur identification
  • Image restoration
  • 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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