• DocumentCode
    382007
  • Title

    A statistical analysis of diffraction-limited imaging

  • Author

    Milanfar, Peyman ; Shakouri, Ali

  • Author_Institution
    Electr. Eng. Dept., California Univ., Santa Cruz, CA, USA
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Abstract
    The Rayleigh criterion is generally regarded as a fundamental limit and due to its practical accuracy in predicting the performance of optical imaging systems, it has unfortunately become accepted as a de-facto physical law. We show that this limit is simply a very good rule of thumb, which under proper conditions typically related to the signal-to-noise (SNR) of the sensor, can be overcome. While we do not discuss specific methodology for improving resolution, it is the aim of this work to explore how far beyond the Rayleigh limit one can go, and to identify the theoretical limits to such resolution enhancement.
  • Keywords
    image resolution; light diffraction; noise; optical images; statistical analysis; GLRT; MLE; Rayleigh criterion; Rayleigh limit; diffraction-limited imaging; generalized likelihood ratio testing; maximum likelihood estimation; optical imaging systems; physical law; resolution enhancement; sensor SNR; signal-to-noise; statistical analysis; Accuracy; Focusing; Image resolution; Noise measurement; Optical diffraction; Optical imaging; Signal processing; Signal resolution; Statistical analysis; Thumb;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing. 2002. Proceedings. 2002 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-7622-6
  • Type

    conf

  • DOI
    10.1109/ICIP.2002.1038162
  • Filename
    1038162