Design and implementation for parallel particle swarm optimization color quantization algorithm

This paper presents the parallel particle swarm optimization color quantization algorithm, the parallel particle swarm optimization combines the nature parallel characters of standard particle swarm optimization with parallel computation models, and the parallel particle swarm optimization is applied color quantization of color image; According to the evolution theory of particle swarm, Through iterative optimization, the most superior palette is determined, and quantization of color mapping of every pixel is completed. Experiment results show that Parallel Particle Swarm Optimization Color Quantization Algorithm is obviously superior to standard particle swarm optimization since it has higher Performance.