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Proceedings Paper

Color-to-grayscale conversion with color clustering and significance criteria
Author(s): Peter Majewicz
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Paper Abstract

An image processing algorithm is presented that adaptively converts color images to grayscale. The intent of the conversion is to preserve color information that is traditionally lost by the conversion process. The conversion produces high-contrast grayscale representations with enhanced color discriminability. A web-based psychometric study confirms that the algorithm is mostly preferred over traditional algorithms. The algorithm employs a multi-stepped approach that includes color clustering, 3-dimensional partitioning, and simulated annealing.

Paper Details

Date Published: 8 February 2010
PDF: 11 pages
Proc. SPIE 7532, Image Processing: Algorithms and Systems VIII, 75320A (8 February 2010); doi: 10.1117/12.839095
Show Author Affiliations
Peter Majewicz, Hewlett-Packard Corp. (United States)


Published in SPIE Proceedings Vol. 7532:
Image Processing: Algorithms and Systems VIII
Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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