• DocumentCode
    2723571
  • Title

    Fast Iterative Super-Resolution for Image Sequences

  • Author

    Bannore, Vivek ; Swierkowski, Leszek

  • fYear
    2007
  • fDate
    3-5 Dec. 2007
  • Firstpage
    286
  • Lastpage
    293
  • Abstract
    Images are often degraded by undersampling and aliasing that occurs in many imaging systems. Super- resolution reconstructs a high-resolution image from a sequence of observed low-resolution images. This paper presents a mathematical justification of the IISR reconstruction algorithm formulated in [1] on intuitive grounds. It is then shown that by combining the IISR method with a regularized optimization approach to super-resolution, the reconstruction process can be improved. Numerical results for reconstruction are presented.
  • Keywords
    Application software; Australia; Degradation; High-resolution imaging; Image reconstruction; Image resolution; Image sequences; Iterative algorithms; Layout; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing Techniques and Applications, 9th Biennial Conference of the Australian Pattern Recognition Society on
  • Conference_Location
    Glenelg, Australia
  • Print_ISBN
    0-7695-3067-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2007.4426809
  • Filename
    4426809
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2723571