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Proceedings Paper

Restoration of images degraded by input scanner vibrations
Author(s): George Wolberg; Robert P. Loce
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Paper Abstract

Images scanned in the presence of mechanical vibrations are subject to artifacts such as brightness fluctuation and geometric warping. The goal of this work is to develop an algorithm to invert these distortions and produce an output digital image consistent with a scanner operating under ideal uniform motion conditions. The image restoration algorithm described in this paper applies to typical office scanners that employ a moving linear sensor array (LSA) or moving optics. The velocity of the components is generally not constant in time. Dynamic errors are introduced by gears, timing belts, motors, and structural vibrations. A companion paper characterizes the artifacts induced by nonuniform velocity. In this work, we make use of the instantaneous LSA velocity to reconstruct an underlying piecewise constant or piecewise linear model of the image irradiance function. The control points for the underlying model are obtained by solving a system of equations derived to relate the observed area samples with instantaneous LSA velocity and a spatially varying sampling kernel. An efficient solution exists for the narrow band diagonal matrix that results. The control points computed with this method fully define the underlying irradiance function. That function is then suitable for resampling under ideal scanning conditions to produce a restored output digital image.

Paper Details

Date Published: 30 March 1995
PDF: 12 pages
Proc. SPIE 2422, Document Recognition II, (30 March 1995); doi: 10.1117/12.205837
Show Author Affiliations
George Wolberg, CUNY/City College (United States)
Robert P. Loce, Xerox Webster Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2422:
Document Recognition II
Luc M. Vincent; Henry S. Baird, Editor(s)

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