A fast algorithm for image analogy using particle swarm optimization

Abstract

This work employs particle swarm optimization (PSO) based texture synthesis approaches, it differs from the pixel-based texture synthesis method, in this way, and the synthesis speed is increased. We apply particle swarm optimization (PSO) to improve the process of searching and matching in patch-based texture synthesis, change the throughout search method… (More)

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Cite this paper

@article{Zhang2004AFA, title={A fast algorithm for image analogy using particle swarm optimization}, author={Yan Zhang and Yu Meng and Wen-Hui Li and Yun-Jie Pang}, journal={Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)}, year={2004}, volume={7}, pages={4043-4048 vol.7} }