3 April 1997 Document restoration and enhancement using optimal iterative and paired morphological filters
Author Affiliations +
Proceedings Volume 3027, Document Recognition IV; (1997); doi: 10.1117/12.270064
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yeqing Zhang, Robert P. Loce, Edward R. Dougherty, "Document restoration and enhancement using optimal iterative and paired morphological filters", Proc. SPIE 3027, Document Recognition IV, (3 April 1997); doi: 10.1117/12.270064; https://doi.org/10.1117/12.270064

Image filtering

Optimal filtering

Digital filtering

Digital imaging

Image processing

Nonlinear filtering

Image resolution


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