Abstract: As the searching space is limited in its later search, the particle swarm optimization algorithm factors is easy to fall into local minimum, and access to the premature state curly. In response to these circumstances, a new patch-based method for texture synthesis based on chaos particle swarm optimization was proposed. Chaos optimization search technique was used in particle swarm optimization in this paper. The experimental result shows that comparing with particle swarm optimization, chaos particle swarm optimization has better optimization performance, overcomes the disadvantage of particle swarm optimization, and gains the texture synthesis image of higher quality.

Key words: Chaos particle swarm optimization, Texture synthesis, Patch-based sampling, Particle swarm optimization