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Proceedings Paper

Document restoration and enhancement using optimal iterative and paired morphological filters
Author(s): Yeqing Zhang; Robert P. Loce; Edward R. Dougherty
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Paper Abstract

Restoration and enhancement of digital documents typically involves use of binary filters. Various methods have been developed to facilitate automatic design of optimal binary filters in the context of morphological image processing. Among these are iterative increasing filters for designing optimal increasing filters in stages, and paired- representation filters, in which a nonincreasing filter is represented as a union of anti-extensive and extensive increasing filters. The present paper applies these filters in three different modalities for digital document enhancement. Iterative design is illustrated in the context of document restoration for dilated, background-noise images; iterative, paired design is illustrate in for restoration of edge-degraded characters; and paired design is used for integer resolution conversion.

Paper Details

Date Published: 3 April 1997
PDF: 15 pages
Proc. SPIE 3027, Document Recognition IV, (3 April 1997); doi: 10.1117/12.270064
Show Author Affiliations
Yeqing Zhang, Xerox Corp. (United States)
Robert P. Loce, Xerox Corp. (United States)
Edward R. Dougherty, Texas A&M Univ. (United States)

Published in SPIE Proceedings Vol. 3027:
Document Recognition IV
Luc M. Vincent; Jonathan J. Hull, Editor(s)

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