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Proceedings Paper

Compressing redundant color information for images of color maps: a practical approach
Author(s): Yiu Sang Moon; Chung Yiu Wong; Yucai Feng
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Paper Abstract

This paper studies an approach to solve the problem of color purification for images of scanned paper maps in an experimental manner. The mathematical foundation of the approach is briefly outlined. A computationally feasible algorithm is then proposed. This algorithm is tested through real life testing. Results indicate that this approach not only restores and purifies colors of the map digitally. It compresses the data of the image files too.

Paper Details

Date Published: 2 November 1999
PDF: 8 pages
Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); doi: 10.1117/12.367624
Show Author Affiliations
Yiu Sang Moon, Chinese Univ. of Hong Kong (Hong Kong)
Chung Yiu Wong, Chinese Univ. of Hong Kong (Hong Kong)
Yucai Feng, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3807:
Advanced Signal Processing Algorithms, Architectures, and Implementations IX
Franklin T. Luk, Editor(s)

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