• 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