DocumentCode
2395714
Title
Particle swarm optimization-based texture synthesis and texture transfer
Author
Zhang, Yan ; Meng, W. ; Li, Wen-Wi ; Pang, Yunjie ; Hong-Peng Wang
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Volume
7
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
4037
Abstract
In this paper, a fast texture synthesis algorithm-swarm intelligence-based texture synthesis is presented. The algorithm uses an intelligent particle swarm optimization (PSO) algorithm to search the best matching patch from the input sample textures and paste it onto the output texture. After a series of experiments, it is proved that the algorithm is effective to a variety of textures, and high quality textures can be synthesized with a mid-level PC in real-time by using it. Furthermore, we extend it to an application-texture transfer.
Keywords
Markov processes; evolutionary computation; feature extraction; image matching; image resolution; image texture; optimisation; random processes; Markov processes; fast texture synthesis algorithm; feature extraction; intelligent particle swarm optimization algorithm; random processes; swarm intelligence based texture synthesis; texture transfer algorithm; Clouds; Computer graphics; Computer science; Computer vision; Image generation; Layout; Particle swarm optimization; Pixel; Sea surface; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1384545
Filename
1384545
Link To Document