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Processing halftone color images by vector space methods.

Li Liu·Yongyi Yang·Henry Stark
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Abstract

The reproduction of color images by color halftoning can be characterized by the Neugebauer model/equation. However, the Neugebauer equation is not easy to solve because of the highly nonlinear relationship between the underlying Neugebauer primaries and the colorants. We attempt to solve the Neugebauer equation by vector space methods. The proposed method of solution is applicable to any number of colorants, although our experimental results are confined to the CMY and CMYK cases. Among the constraints we consider are those related to a bound on the permissible amount of total ink and a bound on the total cost of applying colorants to achieve a satisfactory level of color reproduction. Our results demonstrate that the vector space method is a feasible approach for solving for the required amounts of colorants in the constrained color halftoning problem.

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AlgorithmsColorColorimetryComputer GraphicsImage EnhancementImage Interpretation, Computer-AssistedInformation Storage and RetrievalSignal Processing, Computer-AssistedJournal Article

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Li Liu, Yongyi Yang, Henry Stark. 2006. Processing halftone color images by vector space methods.. https://doi.org/10.1364/josaa.23.000247

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