MFA-SPINE noise reduction for text images

Joseph Henry Uchill; Amir H. Assadi

doi:10.1117/12.477718

28 May 2003 MFA-SPINE noise reduction for text images

Joseph Henry Uchill, Amir H. Assadi

Proceedings Volume 5014, Image Processing: Algorithms and Systems II; (2003) https://doi.org/10.1117/12.477718
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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

Citation Download Citation

Joseph Henry Uchill and Amir H. Assadi "MFA-SPINE noise reduction for text images", Proc. SPIE 5014, Image Processing: Algorithms and Systems II, (28 May 2003); https://doi.org/10.1117/12.477718

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KEYWORDS

Digital filtering

Image filtering

Matrices

Denoising

Visualization

Algorithms

Computer programming

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