• DocumentCode
    1591090
  • Title

    An Image Interpolation Scheme Combined with Artificial Neural Network

  • Author

    Liang, Fengmei ; Xie, Keming

  • Author_Institution
    Taiyuan Univ. of Technol., Taiyuan
  • Volume
    3
  • fYear
    2007
  • Firstpage
    99
  • Lastpage
    102
  • Abstract
    Due to some inner and outer reasons of image system, images obtained by some sensors will be degraded unavoidably. The main purpose of this paper is to present an efficient image interpolation scheme to improve the resolution and quality of images. The scheme is realized by combining Bezier surface interpolation with an artificial neural network (ANN). Theoretically, the hybrid rapid algorithm has more advantages than other interpolation algorithm. Moreover, the algorithm has been demonstrated to improve efficiently the image resolution with example applications and their results.
  • Keywords
    image resolution; interpolation; neural nets; Bezier surface interpolation; artificial neural network; hybrid rapid algorithm; image interpolation; image quality; image resolution; image system; Artificial neural networks; Degradation; Educational institutions; Image resolution; Image restoration; Image sensors; Interpolation; Neural networks; Pixel; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2007. ICNC 2007. Third International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-2875-5
  • Type

    conf

  • DOI
    10.1109/ICNC.2007.201
  • Filename
    4344485