Type of Document Master's Thesis Author Swain, David James Author's Email Address firstname.lastname@example.org URN etd-71597-144246 Title Enhancing and Reconstructing Digitized Handwriting Degree Master of Science Department Computer Science Advisory Committee
Advisor Name Title Allison, Donald C. S. Roach, John W. Ehrich, Roger W. Committee Chair Keywords
- inverse filter
- nonlinear filter
- background estimator
Date of Defense 1997-08-11 Availability unrestricted AbstractThis thesis involves restoration, reconstruction, and enhancement
of a digitized library of hand-written documents. Imaging systems
that perform this digitization often degrade the quality of the
original documents. Many techniques exist for reconstructing,
restoring, and enhancing digital images; however, many
require a priori knowledge of the imaging system.
In this study, only partial a priori knowledge
is available, and therefore unknown parameters must be
estimated before restoration, reconstruction, or enhancement
The imaging system used to digitize the documents library
has degraded the images in several ways. First, it has
introduced a ringing that is apparent around each stroke.
Second, the system has eliminated strokes of narrow widths.
To restore these images, the imaging system is modeled by
estimating the point spread function from sample impulse
responses, and the image noise is estimated in an attempt
to apply standard linear restoration techniques. The
applicability of these techniques is investigated in the
first part of this thesis. Then nonlinear filters, structural
techniques, and enhancement techniques are applied to obtain
substantial improvements in image quality.
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