Compressing redundant color information for images of color maps: a practical approach

Yiu Sang Moon; Chung Yiu Wong; Yucai Feng

doi:10.1117/12.367624

2 November 1999 Compressing redundant color information for images of color maps: a practical approach

Yiu Sang Moon, Chung Yiu Wong, Yucai Feng

Author Affiliations +

Proceedings Volume 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX; (1999) https://doi.org/10.1117/12.367624
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Yiu Sang Moon, Chung Yiu Wong, and Yucai Feng "Compressing redundant color information for images of color maps: a practical approach", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); https://doi.org/10.1117/12.367624

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