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MFA-SPINE noise reduction for text images
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Paper Abstract

Imaging text documents always adds a certain amount of noise and other artifacts. Fidelity of electronic reproduction depends very much on the accuracy of noise removal algorithms. The present algorithms attempt to remove artifact by filters that are based on convolution or other methods that are “invasive” with respect to the original representation of the text document. As a result, it is highly desirable to design noise removal algorithms that restore the image to the original representation of text, removing merely noise and added artifacts without blurring or tampering with font corners and edges. In this paper, we present a solution to this problem by design of a filter based on accurate statistics of text in its Matrix Frequency Representation that was developed earlier by the authors

Paper Details

Date Published: 28 May 2003
PDF: 4 pages
Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); doi: 10.1117/12.477718
Show Author Affiliations
Joseph Henry Uchill, Univ. of Wisconsin/Madison (United States)
Amir H. Assadi, Univ. of Wisconsin/Madison (United States)

Published in SPIE Proceedings Vol. 5014:
Image Processing: Algorithms and Systems II
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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