• DocumentCode
    2656436
  • Title

    Grand challenges in image processing and analysis

  • Author

    Bruckstein, Alfred M.

  • Author_Institution
    Technion-Israel Inst. of Technol., Haifa, Israel
  • fYear
    2004
  • fDate
    13-15 Dec. 2004
  • Firstpage
    239
  • Abstract
    Summary form only given. The field of image processing and analysis is very broad, encompassing a wide variety of research issues, from efficient encoding of images and video sequences, through image enhancement and restoration to image segmentation, recovering spatial shape from shading and pattern distortions, learning about 3D from multiple unregistered 2D images, of image sequences, and high level image understanding topics. Consequently, researchers in this field rely on an amazingly wide variety of mathematical and computational techniques in their attempts to solve the many problems that arise. The grand challenges in image processing are therefore issues concerning syntheses and synergies between the variety of methods, however, the most important challenge remains the wise choice of problems worth focusing on.
  • Keywords
    image coding; image enhancement; image registration; image restoration; image segmentation; image sequences; 3D learning; computational techniques; image analysis; image encoding; image enhancement; image processing; image restoration; image segmentation; image sequences; image understanding; mathematical techniques; multiple unregistered 2D images; pattern distortions; spatial shape from shading; video sequences; Image analysis; Image coding; Image enhancement; Image processing; Image restoration; Image segmentation; Image sequence analysis; Pattern analysis; Shape; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 2004. ICECS 2004. Proceedings of the 2004 11th IEEE International Conference on
  • Print_ISBN
    0-7803-8715-5
  • Type

    conf

  • DOI
    10.1109/ICECS.2004.1399660
  • Filename
    1399660