• DocumentCode
    3208000
  • Title

    Uncontrolled modulation imaging

  • Author

    Schechner, Yoav Y. ; Nayar, Shree K.

  • Author_Institution
    Dept. of Electr. Eng., Israel Inst. Technol., Haifa, Israel
  • Volume
    2
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    To obtain high dynamic range or hyperspectral images, multiple frames of the same field of view are acquired while the imaging settings are modulated; images are taken at different exposures or through different wavelength bands. A major problem associated with such modulations has been the need for perfect synchronization between image acquisition and modulation control. In the past, this problem has been addressed by using sophisticated servo-control mechanisms. In this work, we show that the process of modulation imaging can be made much simpler by using vision algorithms to automatically relate each acquired frame to its corresponding modulation level. This correspondence is determined solely from the acquired image sequence and does not require measurement or control of the modulation. The image acquisition and the modulation work continuously, in parallel, and independently. We refer to this approach as computational synchronization. It makes the imaging process simple and easy to implement. We have developed a prototype modulation imaging system that uses computational synchronization and used it to acquire high dynamic range and multispectral images.
  • Keywords
    image sequences; modulation; servomechanisms; synchronisation; computational synchronization; high dynamic range imaging; hyperspectral images; image acquisition; image sequence; modulation control; multispectral imaging; prototype modulation imaging system; servocontrol mechanisms; uncontrolled modulation imaging; vision algorithms; Automatic control; Biomedical imaging; Control systems; Dynamic range; Filters; Hyperspectral imaging; Image color analysis; Image sequences; Layout; Multispectral imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315164
  • Filename
    1315164