Superresolution and convergence properties of the expectation-maximization algorithm for maximum-likelihood deconvolution of incoherent images.

@article{Conchello1998SuperresolutionAC,
  title={Superresolution and convergence properties of the expectation-maximization algorithm for maximum-likelihood deconvolution of incoherent images.},
  author={Jos{\'e} Angel Conchello},
  journal={Journal of the Optical Society of America. A, Optics, image science, and vision},
  year={1998},
  volume={15 10},
  pages={
          2609-19
        }
}
Computational optical-sectioning microscopy with a nonconfocal microscope is fundamentally limited because the optical transfer function, the Fourier transform of the point-spread function, is exactly zero over a conic region of the spatial-frequency domain. Because of this missing cone of optical information, images are potentially artifactual. To overcome this limitation, superresolution, in the sense of band extrapolation, is necessary. I present a frequency-domain analysis of the… CONTINUE READING

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