Research Article Color Image Quantization Algorithm Based on Self-Adaptive Differential Evolution

which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Differential evolution algorithm (DE) is one of the novel stochastic optimization methods. It has a better performance in the problem of the color image quantization, but it is difficult to set the parameters of DE for users. This paper proposes a color image quantization algorithm based on self-adaptive DE. In the proposed algorithm, a self-adaptive mechanic is used to automatically adjust the parameters of DE during the evolution, and a mixed mechanic of DE and K-means is applied to strengthen the local search.Thenumerical experimental results, on a set of commonly used test images, show that the proposed algorithm is a practicable quantizationmethod and is more competitive thanK-means and particle swarm algorithm (PSO) for the color image quantization. 1