Digital images in general, and radiographies in particular, are mainly affected by photon counting noise. In this paper, we provide a method to estimate the gain of the imaging sensor and the variance of the photon counting noise associated to each image grey level. This is useful to multiple scopes, like reverse engineering and denoising.

A new and reliable Poisson noise estimator for radiographic images / I. Frosio, M. Lucchese, N. A. Borghese - In: 14th International Conference on Image Analysis and Processing ICIAP 2007 : 10-14 September 2007, Modena, Italy : proceedingsLos Alamitos : IEEE Computer Society, 2007. - ISBN 9780769528779. - pp. 725-730 (( Intervento presentato al 14. convegno International Conference on Image Analysis and Processing tenutosi a Modena, Italy nel 2007.

A new and reliable Poisson noise estimator for radiographic images

I. Frosio
Primo
;
N. A. Borghese
Ultimo
2007

Abstract

Digital images in general, and radiographies in particular, are mainly affected by photon counting noise. In this paper, we provide a method to estimate the gain of the imaging sensor and the variance of the photon counting noise associated to each image grey level. This is useful to multiple scopes, like reverse engineering and denoising.
Settore INF/01 - Informatica
2007
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/41300
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