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Proceedings Paper

Restoration of spatially variant motion blurs in sequential imagery
Author(s): H. Joel Trussell; Sergei Fogel
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Paper Abstract

In many modern applications, the image data consists of a sequence of frames which may be degraded by object motion. Examples include high- speed television where the purpose is to record and analyze rapid motion of objects and production of still frame hardcopy from vide recordings. It is often the case that the motion of the image of the object on the recording sensor moves significantly during the time the shutter is open. Since different objects may be moving in different directions at different speeds, the resulting blur is space-variant. Two problems are addressed in this research: determination of the space-variant motion and restoration with space-variant point spread functions. The work presented here uses the surrounding frames to obtain information about the relative motion, and together with information about the shutter speed, estimates the motion blur in local regions of the image. The advantage is that there are no limitations of the type of motion which can be treated. A restoration method has been developed which can deal with this directly, as opposed to geometrically warping the image to produce an image which is treated by spatially-invariant methods. The method is a modification of the iterative Landweber iteration which is implemented using overlapping sections.

Paper Details

Date Published: 1 June 1991
PDF: 7 pages
Proc. SPIE 1452, Image Processing Algorithms and Techniques II, (1 June 1991); doi: 10.1117/12.45378
Show Author Affiliations
H. Joel Trussell, North Carolina State Univ. (United States)
Sergei Fogel, Eastman Kodak Co. (United States)

Published in SPIE Proceedings Vol. 1452:
Image Processing Algorithms and Techniques II
Mehmet Reha Civanlar; Sanjit K. Mitra; Robert J. Moorhead II, Editor(s)

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