• DocumentCode
    2900633
  • Title

    Efficient super-resolution and applications to mosaics

  • Author

    Zomet, Assaf ; Peleg, Shmuel

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Hebrew Univ., Jerusalem, Israel
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    579
  • Abstract
    Mosaicing and super resolution are two ways to combine information from multiple frames in video sequences. Mosaicing displays the information of multiple frames in a single panoramic image. Super-resolution uses regions which appear in multiple frames to improve resolution and reduce noise. The aim of this work is constructing a high resolution mosaic from a video sequence in an efficient way. Simple combination of the two methods is problematic, since the alignment used in mosaicing may not be accurate enough for super resolution. Another issue is the efficiency of the super resolution algorithm, which requires heavy computations, especially when applied to large images such as panoramic mosaics. This paper introduces two novelties. First, a framework for super resolution algorithms is presented, which enables the development of very efficient algorithms. Second, a method for applying super resolution to panoramic mosaics is presented. This method preserves the geometry of the original mosaic image, while improving its resolution
  • Keywords
    computational complexity; image resolution; image sequences; video signal processing; efficient super-resolution; mosaics; multiple frame information combination; video sequences; Cameras; Geometry; High-resolution imaging; Image resolution; Layout; Noise reduction; Optical imaging; Sparse matrices; Strips; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905404
  • Filename
    905404