Nonparametric two-dimensional point spread function estimation for biomedical imaging.
Med Biol Eng Comput
; 31(3): 277-83, 1993 May.
Article
en En
| MEDLINE
| ID: mdl-8412381
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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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Diagnóstico por Imagen
/
Modelos Teóricos
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Med Biol Eng Comput
Año:
1993
Tipo del documento:
Article
País de afiliación:
Canadá