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Journal of Electronic Imaging

Model-based optimal restoration of fax images in the context of mathematical morphology
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Paper Abstract

Restoration is ultimately a problem of statistical estimation. An optimal filter is estimated to restore binary fax images. The filter is an approximation of the binary conditional expectation that 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. Simulated images are used to generate data from which the filter is estimated. The methodology presented can be used for other classes of images. Restoration examples are given.

Paper Details

Date Published: 1 April 1994
PDF: 8 pages
J. Electron. Imaging. 3(2) doi: 10.1117/12.174690
Published in: Journal of Electronic Imaging Volume 3, Issue 2
Show Author Affiliations
John C. Handley, Rochester Institute of Technology (United States)
Edward R. Dougherty, Rochester Institute of Technology (United States)


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