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PubMed · 8412381

Nonparametric two-dimensional point spread function estimation for biomedical imaging.

T D Doukoglou·I W Hunter·R E Kearney
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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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Diagnostic ImagingHumansMathematicsModels, TheoreticalSignal Processing, Computer-AssistedJournal Article

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T D Doukoglou, I W Hunter, R E Kearney. 1993. Nonparametric two-dimensional point spread function estimation for biomedical imaging.. https://doi.org/10.1007/bf02458047

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