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Nonparametric two-dimensional point spread function estimation for biomedical imaging

  • Medical Physics and Imaging
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Abstract

The problem of identifying optical system point spread functions (PSFs) arises frequently in the area of image processing and restoration. The paper presents a method for determining two-dimensional PSFs from input/output image signals. The PSF of the system is determined from a set of linear equations involving elements of the input autocorrelation function and the input/output cross-correlation function. The resulting PSF is the one that minimises the sum of squares difference between the actual output image and the predicted one.

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Authors and Affiliations

  1. Department of Biomedical Engineering, McGill University, H3A 2B4, Montréal, Québec, Canada

    T. D. Doukoglou, I. W. Hunter & R. E. Kearney

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  1. T. D. Doukoglou
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  2. I. W. Hunter
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  3. R. E. Kearney
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Doukoglou, T.D., Hunter, I.W. & Kearney, R.E. Nonparametric two-dimensional point spread function estimation for biomedical imaging. Med. Biol. Eng. Comput. 31, 277–283 (1993). https://doi.org/10.1007/BF02458047

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  • DOI: https://doi.org/10.1007/BF02458047

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