• DocumentCode
    960241
  • Title

    Imaging below the diffraction limit: a statistical analysis

  • Author

    Shahram, Morteza ; Milanfar, Peyman

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California, Santa Cruz, CA, USA
  • Volume
    13
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    677
  • Lastpage
    689
  • Abstract
    The present paper is concerned with the statistical analysis of the resolution limit in a so-called "diffraction-limited" imaging system. The canonical case study is that of incoherent imaging of two closely-spaced sources of possibly unequal brightness. The objective is to study how far beyond the classical Rayleigh limit of resolution one can reach at a given signal to noise ratio. The analysis uses tools from statistical detection and estimation theory. Specifically, we will derive explicit relationships between the minimum detectable distance between two closely-spaced point sources imaged incoherently at a given SNR. For completeness, asymptotic performance analysis for the estimation of the unknown parameters is carried out using the Crame´r-Rao bound. To gain maximum intuition, the analysis is carried out in one dimension, but can be well extended to the two-dimensional case and to more practical models.
  • Keywords
    diffraction; image resolution; optical images; statistical analysis; Cramer-Rao bound; SNR; asymptotic performance analysis; classical Rayleigh limit; closely-spaced sources; diffraction limited imaging system; estimation theory; hypothesis test; incoherent imaging; minimum detectable distance; signal to noise ratio; statistical detection; Additive noise; Brightness; Image resolution; Noise measurement; Optical diffraction; Optical imaging; Signal resolution; Signal to noise ratio; Spatial resolution; Statistical analysis; Algorithms; Computer Simulation; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Statistical; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2004.826096
  • Filename
    1288193