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Proceedings Paper

Optimal nonlinear fax restoration
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Paper Abstract

An optimal filter is estimated to restore binary fax images. The filter is an approximation of the binary conditional expectation which minimizes the expected absolute error between the degraded image and the ideal image. It is implemented as a morphological hit-or-miss filter. Estimation methodology employs a model-based simulation of the degradation due to the fax process.

Paper Details

Date Published: 23 March 1994
PDF: 11 pages
Proc. SPIE 2181, Document Recognition, (23 March 1994); doi: 10.1117/12.171110
Show Author Affiliations
John C. Handley, Rochester Institute of Technology (United States)
Edward R. Dougherty, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2181:
Document Recognition
Luc M. Vincent; Theo Pavlidis, Editor(s)

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