Title page for ETD etd-71597-144246


Type of Document Master's Thesis
Author Swain, David James
Author's Email Address jswain@csgrad.cs.vt.edu
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
Abstract
This 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

is possible.

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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