Document restoration and enhancement using optimal iterative and paired morphological filters Conference 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.

name of conference

• Document Recognition IV

authors

• Dougherty, Edward

published proceedings

• Proceedings of SPIE

author list (cited authors)

• Zhang, Y., Loce, R. P., & Dougherty, E. R.

citation count

• 0

complete list of authors

• Zhang, Yeqing||Loce, Robert P||Dougherty, Edward R

editor list (cited editors)

• Vincent, L. M., & Hull, J. J.

publication date

• April 1997

publisher

• SPIE, the international society for optics and photonics  Publisher

published in

• Proceedings of SPIE  Journal

Digital Object Identifier (DOI)

• 10.1117/12.270064

International Standard Book Number (ISBN) 10

• 0819424382

start page

• 109

end page

• 123

volume

• 3027

URL

• http://dx.doi.org/10.1117/12.270064