Optimal image colour extraction by differential evolution
by Gerald Schaefer, Lars Nolle
International Journal of Bio-Inspired Computation (IJBIC), Vol. 2, No. 3/4, 2010

Abstract: Differential evolution is an optimisation technique that has been successfully employed in various applications. In this paper, we apply differential evolution to the problem of extracting the optimal colours of a colour map for quantised images. The choice of entries in the colour map is crucial for the resulting image quality as it forms a look-up table that is used for all pixels in the image. We show that differential evolution can be effectively employed as a method for deriving the entries in the map. In order to optimise the image quality, our differential evolution approach is combined with a local search method that is guaranteed to find the local optimal colour map. This hybrid approach is shown to outperform various commonly used colour quantisation algorithms on a set of standard images.

Online publication date: Fri, 07-May-2010

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