1 October 2008 Polynomial modeling and optimization for colorimetric characterization of scanners
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Abstract
We present different computational strategies for colorimetric characterization of scanners using multidimensional polynomials. The designed strategies allow us to determine the coefficients of an a priori fixed polynomial, taking into account different color error statistics. Moreover, since there is no clear relationship between the polynomial chosen for the characterization and the intrinsic characteristics of the scanner, we show how genetic programming could be used to generate the best polynomial. Experimental results on different devices are reported to confirm the effectiveness of our methods with respect to others in the state of the art.
©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)
Simone Bianco, Francesca Gasparini, Raimondo Schettini, and L. Vanneschi "Polynomial modeling and optimization for colorimetric characterization of scanners," Journal of Electronic Imaging 17(4), 043002 (1 October 2008). https://doi.org/10.1117/1.2982004
Published: 1 October 2008
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Scanners

RGB color model

Optimization (mathematics)

Roentgenium

Error analysis

Genetics

Computer programming

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