Identification of motion blur for blind image restoration

Research output: Contribution to conferencePaperpeer-review

Abstract

Successful restoration of blurred images depends primarily on the knowledge we have about the degradation process parameters, i.e., the point spread function (PSF) of the blur and the noise statistics. In many blur types, such as uniform or sinusoidal motions, the most important parameter for proper identification of the PSF is the blur extent parameter. This parameter is the smear size in the blurred image of a point object in the original image. A new method for identification of the blur extent in an image, blurred by horizontal motion of the camera during the exposure time, is presented in this paper. The blur extent identification is accomplished given only the motion-blurred and noisy image. The identification approach here is based on the error characteristics due to the intentional use of inappropriate PSFs in the restoration process. The knowledge of the camera displacement permits high resolution image restoration when this parameter can relate to a specific PSF such as that characterizing linear motion or vibrations. Since the approach is not iterative the computing time is relatively short.

Original languageEnglish
Pages3.4.3/1-5
StatePublished - 1 Jan 1995
EventProceedings of the 18th Convention of Electrical and Electronics Engineers in Israel - Tel Aviv, Isr
Duration: 7 Mar 19958 Mar 1995

Conference

ConferenceProceedings of the 18th Convention of Electrical and Electronics Engineers in Israel
CityTel Aviv, Isr
Period7/03/958/03/95

ASJC Scopus subject areas

  • Engineering (all)

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