Paper
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 +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Raster graphics

Image resolution

RGB color model

Statistical analysis

Tolerancing

Computer programming

RELATED CONTENT

Subjective assessment of concatenated compression systems
Proceedings of SPIE (September 16 1996)
Efficient digitization of printed color maps
Proceedings of SPIE (January 17 2005)
HD Photo a new image coding technology for digital...
Proceedings of SPIE (September 24 2007)

Back to Top