• DocumentCode
    1981606
  • Title

    Video image super-resolution restoration based on iterative back-projection algorithm

  • Author

    Wan, Baikun ; Meng, Lin ; Ming, Dong ; Qi, Hongzhi ; Hu, Yong ; Luk, K.D.K.

  • Author_Institution
    Coll. of Precision Instrum. & Optoelectron. Eng., Tianjin Univ., Tianjin
  • fYear
    2009
  • fDate
    11-13 May 2009
  • Firstpage
    46
  • Lastpage
    49
  • Abstract
    Image fusion was one of the most important technology of pattern recognition. This paper proposed a fast superresolution image reconstruction algorithm basing on image sequences. Iterative back-projection (IBP) technique was used to construct high resolution from image sequences. roughly registered basing on feature and then use Registration algorithm basing on Gray to optimize the result. Iterative back-projection technique was used to construct high resolution from image sequences. Experimental results show that this algorithm solve the problem that the translation and rotation is small in traditional method. The details, definition and resolution of high resolution image processed with the proposed method are effectively improved.
  • Keywords
    image registration; image resolution; image restoration; image sequences; iterative methods; video signal processing; image sequence; iterative back-projection algorithm; registration algorithm; superresolution image reconstruction algorithm; video image super-resolution restoration; Extraterrestrial measurements; Image reconstruction; Image resolution; Image restoration; Image sequences; Iterative algorithms; Noise measurement; Optical imaging; Spatial resolution; Strontium; Iterative back projection; evaluation of image quality; image restoration; super resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-3819-8
  • Electronic_ISBN
    978-1-4244-3820-4
  • Type

    conf

  • DOI
    10.1109/CIMSA.2009.5069916
  • Filename
    5069916