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Proceedings Paper

A Fast Noise Reduction Technique Of Binary Images From An Image Scanner
Author(s): R. H. Park; G. S. Jung; S. K. Kim; C. B. Lee; S. J. Kim
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Paper Abstract

Binary image sometimes shows the random noisy dots and blobs, which are independent of the input data, depending on the illumination condition of the input data and characteristic of an image scanner itself. We propose the binary image enhancement algorithm that smooths out the noise element while preserving thin contours. The proposed algorithm is fast enough to be applicable to nearly real-time services. Computer simulation shows that the proposed method gives better performance than the existing methods in terms of the computational complexity and the effectiveness of the noise reduction with preserving thin contours. It also increases the data compression ratio of the image data based on the G4 facsimile encoding schemes.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968937
Show Author Affiliations
R. H. Park, Sogang University (South Korea)
G. S. Jung, Sogang University (South Korea)
S. K. Kim, Sogang University (South Korea)
C. B. Lee, ETRI (South Korea)
S. J. Kim, ETRI (South Korea)

Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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